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Application of Artificial Bee Colony Algorithm to Maximum Likelihood DOA Estimation 认领 引用 被引量：18
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作者 Zhicheng Zhang Jun Lin Yaowu Shi 《Journal of Bionic Engineering》 SCIE EI CSCD 2013年第1期100-109,共10页
Maximum Likelihood （ML） method has an excellent performance for Direction-Of-Arrival （DOA） estimation, but a mul- tidimensional nonlinear solution search is required which complicates the computation and prevents ... Maximum Likelihood （ML） method has an excellent performance for Direction-Of-Arrival （DOA） estimation, but a mul- tidimensional nonlinear solution search is required which complicates the computation and prevents the method from practical use. To reduce the high computational burden of ML method and make it more suitable to engineering applications, we apply the Artificial Bee Colony （ABC） algorithm to maximize the likelihood function for DOA estimation. As a recently proposed bio-inspired computing algorithm, ABC algorithm is originally used to optimize multivariable functions by imitating the be- havior of bee colony finding excellent nectar sources in the nature environment. It offers an excellent alternative to the con- ventional methods in ML-DOA estimation. The performance of ABC-based ML and other popular meta-heuristic-based ML methods for DOA estimation are compared for various scenarios of convergence, Signal-to-Noise Ratio （SNR）, and number of iterations. The computation loads of ABC-based ML and the conventional ML methods for DOA estimation are also investi- gated. Simulation results demonstrate that the proposed ABC based method is more efficient in computation and statistical performance than other ML-based DOA estimation methods. 展开更多
关键词 DOA estimation maximum likelihood artificial bee colony algorithm bio-inspired computing
Genetic algorithm-based wide-band deterministic maximum likelihood direction finding algorithm 认领 引用
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作者 李福昌 赵春晖 《Journal of Systems Engineering and Electronics》 2005年第3期510-514,共5页
The wide-band direction finding is one of hit and difficult task in array signal processing. This paper generalizes narrow-band deterministic maximum likelihood direction finding algorithm to the wideband case, and so... The wide-band direction finding is one of hit and difficult task in array signal processing. This paper generalizes narrow-band deterministic maximum likelihood direction finding algorithm to the wideband case, and so constructions an object function, then utilizes genetic algorithm for nonlinear global optimization. Direction of arrival is estimated without preprocessing of array data and so the algorithm eliminates the effect of pre-estimate on the final estimation. The algorithm is applied on uniform linear array and extensive simulation results prove the efficacy of the algorithm. In the process of simulation, we obtain the relation between estimation error and parameters of genetic algorithm. 展开更多
关键词 wide-band direction finding deterministic maximum likelihood genetic algorithm.
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Asymptotic properties and expectation-maximization algorithm for maximum likelihood estimates of the parameters from Weibull-Logarithmic model 认领 引用 被引量：2
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作者 GUI Wen-hao ZHANG Huai-nian 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2016年第4期425-438,共14页
In this article, we consider a lifetime distribution, the Weibull-Logarithmic distri- bution introduced by [6]. We investigate some new statistical characterizations and properties. We develop the maximum likelihood i... In this article, we consider a lifetime distribution, the Weibull-Logarithmic distri- bution introduced by [6]. We investigate some new statistical characterizations and properties. We develop the maximum likelihood inference using EM algorithm. Asymptotic properties of the MLEs are obtained and extensive simulations are conducted to assess the performance of parameter estimation. A numerical example is used to illustrate the application. 展开更多
关键词 Maximum likelihood estimate EM algorithm Fisher information Order statistics Asymptoticproperties.
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2-D DOA Estimation in a Cuboid Array Based on Metaheuristic Algorithms and Maximum Likelihood 认领 引用 被引量：1
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作者 Gilberto Lopes Filho Ana Cláudia Barbosa Rezende +2 位作者 Lucas Fiorini Cruz Flávio Henrique Teles Vieira Rodrigo Pinto Lemos 《International Journal of Communications, Network and System Sciences》 2020年第8期121-137,共17页
This paper proposes to apply the genetic algorithm and the firefly algorithm to enhance the estimation of the direction of arrival (DOA) angle of electromagnetic signals of a smart antenna array. This estimation is es... This paper proposes to apply the genetic algorithm and the firefly algorithm to enhance the estimation of the direction of arrival (DOA) angle of electromagnetic signals of a smart antenna array. This estimation is essential for beamforming, where the antenna array radiating pattern is steered to provide faster and reliable data transmission with increased coverage. This work proposes using metaheuristics to improve a maximum likelihood DOA estimator for an antenna array arranged in a uniform cuboidal geometry. The DOA estimation performance of the proposed algorithm was compared to that of MUSIC on different two dimensions scenarios. The metaheuristic algorithms present better performance than the well-known MUSIC algorithm. 展开更多
关键词 Metaheuristic Algorithms Genetic Algorithm Firefly Algorithm DOA Estimation Maximum Likelihood
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Immune Clone Maximum Likelihood Estimation of Improved Non-homogeneous Poisson Process Model Parameters 认领 引用
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作者 任丽娜 芮执元 雷春丽 《Journal of Donghua University(English Edition)》 EI CAS 2014年第6期801-804,共4页
Aiming at the solving problem of improved nonhomogeneous Poisson process( NHPP) model in engineering application,the immune clone maximum likelihood estimation( MLE)method for solving model parameters was proposed. Th... Aiming at the solving problem of improved nonhomogeneous Poisson process( NHPP) model in engineering application,the immune clone maximum likelihood estimation( MLE)method for solving model parameters was proposed. The minimum negative log-likelihood function was used as the objective function to optimize instead of using iterative method to solve complex system of equations,and the problem of parameter estimation of improved NHPP model was solved by immune clone algorithm. And the interval estimation of reliability indices was given by using fisher information matrix method and delta method. An example of failure truncated data from multiple numerical control( NC) machine tools was taken to prove the method. and the results show that the algorithm has a higher convergence rate and computational accuracy, which demonstrates the feasibility of the method. 展开更多
关键词 improved non-homogeneous Poisson process immune clone algorithm maximum likelihood estimation(MLE) interval estimation multiple NC machine tools
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Heuristic techniques for maximum likelihood localization of radioactive sources via a sensor network 认领 引用 被引量：1
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作者 Assem Abdelhakim 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2023年第8期174-193,共20页
Maximum likelihood estimation(MLE)is an effective method for localizing radioactive sources in a given area.However,it requires an exhaustive search for parameter estimation,which is time-consuming.In this study,heuri... Maximum likelihood estimation(MLE)is an effective method for localizing radioactive sources in a given area.However,it requires an exhaustive search for parameter estimation,which is time-consuming.In this study,heuristic techniques were employed to search for radiation source parameters that provide the maximum likelihood by using a network of sensors.Hence,the time consumption of MLE would be effectively reduced.First,the radiation source was detected using the k-sigma method.Subsequently,the MLE was applied for parameter estimation using the readings and positions of the detectors that have detected the radiation source.A comparative study was performed in which the estimation accuracy and time consump-tion of the MLE were evaluated for traditional methods and heuristic techniques.The traditional MLE was performed via a grid search method using fixed and multiple resolutions.Additionally,four commonly used heuristic algorithms were applied:the firefly algorithm(FFA),particle swarm optimization(PSO),ant colony optimization(ACO),and artificial bee colony(ABC).The experiment was conducted using real data collected by the Low Scatter Irradiator facility at the Savannah River National Laboratory as part of the Intelligent Radiation Sensing System program.The comparative study showed that the estimation time was 3.27 s using fixed resolution MLE and 0.59 s using multi-resolution MLE.The time consumption for the heuristic-based MLE was 0.75,0.03,0.02,and 0.059 s for FFA,PSO,ACO,and ABC,respectively.The location estimation error was approximately 0.4 m using either the grid search-based MLE or the heuristic-based MLE.Hence,heuristic-based MLE can provide comparable estimation accuracy through a less time-consuming process than traditional MLE. 展开更多
关键词 Radioactive source Maximum likelihood estimation Multi-resolution MLE k-sigma Firefly algorithm Particle swarm optimization Ant colony optimization Artificial bee colony
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A Perspective of Conventional and Bio-inspired Optimization Techniques in Maximum Likelihood Parameter Estimation 认领 引用
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作者 Yongzhong Lu Min Zhou +3 位作者 Shiping Chen David Levy Jicheng You Danping Yan 《Journal of Autonomous Intelligence》 2018年第2期1-12,共12页
Maximum likelihood estimation is a method of estimating the parameters of a statistical model in statistics. It has been widely used in a good many multi-disciplines such as econometrics, data modelling in nuclear and... Maximum likelihood estimation is a method of estimating the parameters of a statistical model in statistics. It has been widely used in a good many multi-disciplines such as econometrics, data modelling in nuclear and particle physics, and geographical satellite image classification, and so forth. Over the past decade, although many conventional numerical approximation approaches have been most successfully developed to solve the problems of maximum likelihood parameter estimation, bio-inspired optimization techniques have shown promising performance and gained an incredible recognition as an attractive solution to such problems. This review paper attempts to offer a comprehensive perspective of conventional and bio-inspired optimization techniques in maximum likelihood parameter estimation so as to highlight the challenges and key issues and encourage the researches for further progress. 展开更多
关键词 maximum likelihood estimation bio-inspired optimization differential evolution swarm intelligence-based algorithm genetic algorithm particle swarm optimization ant colony optimization.
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An Approximation Method for a Maximum Likelihood Equation System and Application to the Analysis of Accidents Data 认领 引用
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作者 Assi N’Guessan Issa Cherif Geraldo Bezza Hafidi 《Open Journal of Statistics》 2017年第1期132-152,共21页
There exist many iterative methods for computing the maximum likelihood estimator but most of them suffer from one or several drawbacks such as the need to inverse a Hessian matrix and the need to find good initial ap... There exist many iterative methods for computing the maximum likelihood estimator but most of them suffer from one or several drawbacks such as the need to inverse a Hessian matrix and the need to find good initial approximations of the parameters that are unknown in practice. In this paper, we present an estimation method without matrix inversion based on a linear approximation of the likelihood equations in a neighborhood of the constrained maximum likelihood estimator. We obtain closed-form approximations of solutions and standard errors. Then, we propose an iterative algorithm which cycles through the components of the vector parameter and updates one component at a time. The initial solution, which is necessary to start the iterative procedure, is automated. The proposed algorithm is compared to some of the best iterative optimization algorithms available on R and MATLAB software through a simulation study and applied to the statistical analysis of a road safety measure. 展开更多
关键词 Constrained Maximum Likelihood Partial Linear Approximation Schur’s Complement Iterative Algorithms Road Safety Measure Multinomial Model
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Asymptotic Comparison of Method of Moments Estimators and Maximum Likelihood Estimators of Parameters in Zero-Inflated Poisson Model 认领 引用
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作者 G. Nanjundan T. Raveendra Naika 《Applied Mathematics》 2012年第6期610-616,共7页
This paper discusses the estimation of parameters in the zero-inflated Poisson (ZIP) model by the method of moments. The method of moments estimators (MMEs) are analytically compared with the maximum likelihood estima... This paper discusses the estimation of parameters in the zero-inflated Poisson (ZIP) model by the method of moments. The method of moments estimators (MMEs) are analytically compared with the maximum likelihood estimators (MLEs). The results of a modest simulation study are presented. 展开更多
关键词 Zero-Inflated Poisson Model Maximum Likelihood and Moment Estimators EM Algorithm Asymptotic Relative Efficiency
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基于海背景的高光谱图像分类算法对比研究 认领 引用
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作者 李晓杰 张彬 +2 位作者 林超 张帆 孙岩森 《应用光学》 CAS 北大核心 2026年第2期288-293,共6页
随着对复杂广域的海洋环境进行探索,有效识别海冰、浒苔、海面溢油等海洋目标对维护海洋权益具有重要意义。由于海冰等目标表现形式比较多样,理化特性和光学特性不同,以及海面光照变化、海水运动等原因,给基于海背景下的目标分类带来了... 随着对复杂广域的海洋环境进行探索,有效识别海冰、浒苔、海面溢油等海洋目标对维护海洋权益具有重要意义。由于海冰等目标表现形式比较多样,理化特性和光学特性不同,以及海面光照变化、海水运动等原因,给基于海背景下的目标分类带来了很大挑战。对此,借助机载高光谱图像图谱合一的独特优势可获取目标的更多信息,利用光谱角匹配算法(spectral angle matching,SAM)、最大似然法(maximum likelihood classification,MLC)和支持向量机(support vector machine,SVM)3种经典分类算法对基于海背景下的海冰、浒苔和溢油目标进行分类,从定性和定量的角度比较发现,SAM算法对浒苔分类结果较差,Kappa系数为0.67,MLC算法对于海冰和溢油分类结果较差,分类区域边界较模糊;SVM算法分类效果较好,总体精度、平均准确度以及Kappa系数均在0.9以上,整体较为稳定。 展开更多
关键词 高光谱遥感 海背景目标分类 分类算法对比 光谱角匹配 最大似然 支持向量机
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基于EM算法的幂-均匀混合分布参数估计 认领 引用
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作者 赵志文 苑洋 杨凯 《沈阳师范大学学报（自然科学版）》 CAS 2026年第1期81-89,共9页
对于有偏态长尾和均匀分散混合特征的数据来说,单一的幂分布或均匀分布很难对此类数据进行拟合,因而构建幂-均匀混合分布,该混合分布的期望、方差等数字特征与单一的幂分布或均匀分布不同,能够较好地刻画偏态长尾与均匀分散共存这一数... 对于有偏态长尾和均匀分散混合特征的数据来说,单一的幂分布或均匀分布很难对此类数据进行拟合,因而构建幂-均匀混合分布,该混合分布的期望、方差等数字特征与单一的幂分布或均匀分布不同,能够较好地刻画偏态长尾与均匀分散共存这一数据特征。基于期望极大化(expectation-maximization,EM)算法,利用极大似然估计方法对模型参数进行估计,并通过数值模拟实验验证了有限样本下估计方法的可行性。此外,将此混合模型应用在实际数据的建模拟合中,与单一分布的拟合效果进行比较,结果显示所提出的混合模型具有更小的拟合偏差。 展开更多
关键词 幂分布 均匀分布 混合模型 极大似然估计 期望极大化算法
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A novel estimation algorithm for torpedo tracking in undersea environment 认领 引用 被引量：2
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作者 D.V.A.N.RAVI KUMAR S.KOTESWARA RAO K.PADMA RAJU 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第3期673-683,共11页
A novel estimation algorithm is introduced to handle the popular undersea problem called torpedo tracking with angle-only measurements with a better approach compared to the existing filters. The new algorithm produce... A novel estimation algorithm is introduced to handle the popular undersea problem called torpedo tracking with angle-only measurements with a better approach compared to the existing filters. The new algorithm produces a better estimate from the outputs produced by the traditional nonlinear approaches with the assistance of simple noise minimizers like maximum likelihood filter or any other algorithm which belongs to their family. The introduced method is extended to the higher version in two ways. The first approach extracts a better estimate and covariance by enhancing the count of the intermediate filters, while the second approach accepts more inputs so as to attain improved performance without enhancement of the intermediate filter count. The ideal choice of the placement of towed array sensors to improve the performance of the proposed method further is suggested as the one where the line of sight and the towed array are perpendicular. The results could get even better by moving the ownship in the direction of reducing range. All the results are verified in the MATLAB environment. 展开更多
关键词 estimation algorithm torpedo tracking angle-only measurements line of sight maximum likelihood filter
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艇载瑞利多普勒测风激光雷达及其运动补偿算法 认领 引用
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作者 任文哲 甘男 +4 位作者 王佩斯 林志锋 默迪 王然 柯常军 《光学与光电技术》 2026年第1期119-126,共8页
针对平流层飞艇测风需求,提出了一种艇载瑞利多普勒测风激光雷达。系统采用532 nm脉冲光源,通过碘分子吸收滤波器对回波频移进行探测,再根据多普勒原理反演风场。针对飞艇平台运动影响测风的问题,进一步提出了基于组合惯导系统的运动补... 针对平流层飞艇测风需求,提出了一种艇载瑞利多普勒测风激光雷达。系统采用532 nm脉冲光源,通过碘分子吸收滤波器对回波频移进行探测,再根据多普勒原理反演风场。针对飞艇平台运动影响测风的问题,进一步提出了基于组合惯导系统的运动补偿算法。算法利用坐标系转换建立了风速与频移的关系。为处理热运动导致的回波频谱展宽,将风速解算问题转化为多样本多分布的参数估计问题,用最大似然法完成了求解。仿真结果表明,所提算法有效校正了平台运动带来的测风误差。在海拔18 km处以45°仰角观测海拔21 km风场时,风速测量精度约1 m/s,风向测量精度约2.5°。所提系统及算法具有实际应用于平流层飞艇测风的潜力。 展开更多
关键词 平流层飞艇测风 直接探测激光雷达 瑞利散射 运动补偿算法 最大似然法
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基于改进SA-PSO算法的飞机气动参数辨识算法 认领 引用
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作者 张磊磊 曾涛 +3 位作者 秦林烽 罗一鸣 王锐 邢小军 《火力与指挥控制》 CSCD 北大核心 2026年第3期74-80,共7页
针对气动参数不确定时飞机本体特性分析问题,提出了一种基于改进(simulated annealing-particle swarm optimization,SA-PSO)的极大似然气动参数辨识算法。该算法克服了传统Newton-Raphson算法进行极大似然求解时对初值敏感的问题,并采... 针对气动参数不确定时飞机本体特性分析问题,提出了一种基于改进(simulated annealing-particle swarm optimization,SA-PSO)的极大似然气动参数辨识算法。该算法克服了传统Newton-Raphson算法进行极大似然求解时对初值敏感的问题,并采用赋予动态权重的策略,提高了PSO算法的全局寻优性能;通过引入SA算法中的Metropolis准则改进PSO算法个体最优和全局最优更新策略,改善了传统PSO算法的早熟收敛现象。仿真结果表明,所给出的算法具有良好的全局搜索能力,相较于PSO和Newton-Raphson算法具有更高的参数辨识精度。 展开更多
关键词 气动参数辨识 粒子群算法 极大似然算法 SA算法 Metropolis准则
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Millimeter-wave LFMCW radar water surface detection experiment and its imaging algorithm 认领 引用 被引量：2
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作者 CHONG Jin-song WEI Xiang-fei 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2017年第1期46-53,共8页
A millimeter-wave linear frequency modulated continuous wave(LFM CW)radar is applied to water surface detection.This paper presents the experiment and imaging algorithm.In imaging processing,water surface texture can ... A millimeter-wave linear frequency modulated continuous wave(LFM CW)radar is applied to water surface detection.This paper presents the experiment and imaging algorithm.In imaging processing,water surface texture can hardly be seen in the results obtained by traditional imaging algorithm.To solve this problem,we propose a millimeter-wave LFMCW radar imaging algorithm for water surface texture.Different from the traditional imaging algorithm,the proposed imaging algorithm includes two improvements as follows:Firstly,the interference from static targets is removed through a frequency domainfilter;Secondly,the multiplicative noises are reduced by the maximum likelihood estimation method,which is used to estimatethe azimuth spectrum parameters to calculate the energy of water surface echo.Final results show that the proposed algorithmcan obtain water surface texture,which means that the proposed algorithm is superior to the traditional imaging algorithm. 展开更多
关键词 millimeter-wave LFMCW radar water surface texture imaging algorithm maximum likelihood estimation
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基于修正q-威布尔分布的矿用卡车可靠性分析 认领 引用 被引量：2
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作者 刘威 高琪 +2 位作者 刘光伟 白润才 朱乙鑫 《辽宁工程技术大学学报（自然科学版）》 CAS 北大核心 2025年第2期237-246,共10页
为了更加准确地描述露天矿矿用卡车的失效规律,提高可靠性分析的准确性,构建了一种新的alpha变换。在此基础上,提出了一种四参数修正q-威布尔分布模型,并采用蜣螂优化算法与极大似然估计相结合的方式对模型的参数进行估计。通过实例对... 为了更加准确地描述露天矿矿用卡车的失效规律,提高可靠性分析的准确性,构建了一种新的alpha变换。在此基础上,提出了一种四参数修正q-威布尔分布模型,并采用蜣螂优化算法与极大似然估计相结合的方式对模型的参数进行估计。通过实例对比验证了使用修正q-威布尔分布模型评估矿用卡车可靠性的合理性和有效性。数值试验结果表明,利用修正q-威布尔分布模型对矿用卡车故障间隔时间进行分析,制定相应的预防性维修周期能够更好地保障矿用卡车安全、稳定运行。 展开更多
关键词 矿用卡车 可靠性分析 修正q-威布尔分布 蜣螂优化算法 预防性维修周期 极大似然估计
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A Study of EM Algorithm as an Imputation Method: A Model-Based Simulation Study with Application to a Synthetic Compositional Data 认领 引用
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作者 Yisa Adeniyi Abolade Yichuan Zhao 《Open Journal of Modelling and Simulation》 2024年第2期33-42,共10页
Compositional data, such as relative information, is a crucial aspect of machine learning and other related fields. It is typically recorded as closed data or sums to a constant, like 100%. The statistical linear mode... Compositional data, such as relative information, is a crucial aspect of machine learning and other related fields. It is typically recorded as closed data or sums to a constant, like 100%. The statistical linear model is the most used technique for identifying hidden relationships between underlying random variables of interest. However, data quality is a significant challenge in machine learning, especially when missing data is present. The linear regression model is a commonly used statistical modeling technique used in various applications to find relationships between variables of interest. When estimating linear regression parameters which are useful for things like future prediction and partial effects analysis of independent variables, maximum likelihood estimation (MLE) is the method of choice. However, many datasets contain missing observations, which can lead to costly and time-consuming data recovery. To address this issue, the expectation-maximization (EM) algorithm has been suggested as a solution for situations including missing data. The EM algorithm repeatedly finds the best estimates of parameters in statistical models that depend on variables or data that have not been observed. This is called maximum likelihood or maximum a posteriori (MAP). Using the present estimate as input, the expectation (E) step constructs a log-likelihood function. Finding the parameters that maximize the anticipated log-likelihood, as determined in the E step, is the job of the maximization (M) phase. This study looked at how well the EM algorithm worked on a made-up compositional dataset with missing observations. It used both the robust least square version and ordinary least square regression techniques. The efficacy of the EM algorithm was compared with two alternative imputation techniques, k-Nearest Neighbor (k-NN) and mean imputation (), in terms of Aitchison distances and covariance. 展开更多
关键词 Compositional Data Linear Regression Model Least Square Method Robust Least Square Method Synthetic Data Aitchison Distance Maximum Likelihood Estimation Expectation-Maximization Algorithm k-Nearest Neighbor and Mean imputation
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基于加权DV-Hop算法的无线传感器物联网节点三维定位 认领 引用 被引量：1
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作者 王显轩 刘炜 +1 位作者 陈洁萍 覃贵礼 《传感技术学报》 CAS CSCD 北大核心 2025年第6期1122-1126,共5页
为了更快、更准确地对无线传感器物联网节点展开定位,提出基于加权DV-Hop算法的无线传感器物联网节点三维定位的方法。采用DV-Hop算法计算无线传感器物联网节点每跳距离均值;利用加权因子和极大似然法对节点位置进行估算;并使用三维修... 为了更快、更准确地对无线传感器物联网节点展开定位,提出基于加权DV-Hop算法的无线传感器物联网节点三维定位的方法。采用DV-Hop算法计算无线传感器物联网节点每跳距离均值;利用加权因子和极大似然法对节点位置进行估算;并使用三维修正定位方法对估算的节点位置进行修正和优化,实现节点三维定位。实验结果表明,所提方法对于定位无线传感器物联网节点的平均定位误差低于0.25,归一化平均定位误差低于0.07,定位时间低于0.31 ms,定位的精度和效率较高,适用于无线传感器物联网节点定位。 展开更多
关键词 无线传感器 三维定位 加权DV-Hop算法 极大似然值 三维修正定位方法
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New Soft Output Viterbi Algorithm for Mobile Communication System 认领 引用
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作者 YI Qing-ming SHI Min 《Semiconductor Photonics and Technology》 2006年第4期228-232,共5页
Soft output Viterbi algorithm （SOVA） is a turbo decoding algorithm that is suitable for hardware implementation. But its performance is not so good as maximum a posterior probability（MAP） algorithm. So it is very ... Soft output Viterbi algorithm （SOVA） is a turbo decoding algorithm that is suitable for hardware implementation. But its performance is not so good as maximum a posterior probability（MAP） algorithm. So it is very important to improve its performance. The non-correlation between minimum and maximum likelihood paths in SOVA is analyzed. The metric difference of both likelihood paths is used as iterative soft information, which is not the same as the traditional SOVA. The performance of the proposed SOVA is demonstrated by the simulations. For 1 024-bit frame size and 9 iterations with signal to noise ratio from 1 dB to 4 dB, the experimental results show that the new SOVA algorithm obtains about more 0. 4 dB and 0. 2 dB coding gains more than the traditional SOVA and Bi-SOVA algorithms at bit error rate（BER） of 1 × 10^-4 , while the latency is only half of the Bi-direction SOVA decoding. 展开更多
关键词 SOVA algorithm Maximum likelihood path Minimum likelihood path Coding gain
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A novel space-borne antenna anti-jamming technique based on immunity genetic algorithm-maximum likelihood 认领 引用 被引量：3
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作者 TAOHaihong YUJiang +1 位作者 WANGHongyang LIAOGuisheng 《Science in China(Series F)》 2005年第3期397-408,共12页
A novel space-borne antenna nulling method is presented on rejecting strong multi-interference from the ground and air. Immune Genetic Algorithm for searching for the multi-extremum of maximum likelihood function has ... A novel space-borne antenna nulling method is presented on rejecting strong multi-interference from the ground and air. Immune Genetic Algorithm for searching for the multi-extremum of maximum likelihood function has been developed, which is based on injecting vaccine pick-up adaptively. GA has the capability of the whole searching and is not limited by the selection of initial parameter. And the Immune algorithm possesses the advantage of availing oneself of characteristic information. The proposed method, combining GA with the Immune algorithm, can converge at the global optimum quickly and offer high resolution null point. Simulation examples, based on the spot survey data, are shown to illustrate the effectiveness and robustness of the proposed algorithm. 展开更多
关键词 maximum likelihood immune genetic algorithm adaptive vaccine pick-up anti-interference space-borne antenna.
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