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短采样宽带信号方位估计快速算法
引用本文:金勇,黄建国,张立杰.短采样宽带信号方位估计快速算法[J].电子与信息学报,2008,30(10):2525-2528.
作者姓名:金勇  黄建国  张立杰
作者单位:西北工业大学航海学院 西安710072
基金项目:国家自然科学基金,航空基础科学基金
摘    要:该文针对短采样宽带信号近似最大似然(AML)方位估计计算量大的问题,将马尔可夫蒙特卡罗方法与近似最大似然方位估计相结合,提出一种基于Gibbs抽样的近似最大似然方位估计新方法(Approximated Maximum Likelihood DOA estimator based on Gibbs Sampling, AMLGS)。研究结果表明,AMLGS方法不但保持了原近似最大似然方位估计方法的优良性能,而且显著减小了计算量。把原方法的计算复杂度从O(LK)减少到O(KJNs)。

关 键 词:宽带信号    短采样    近似最大似然估计    方位估计    计算复杂度
收稿时间:2007-4-9
修稿时间:2007-11-9

DOA Estimation Fast Algorithm for Short SAmpling Wideband Signals
Jin Yong,Huang Jian-guo,Zhang Li-jie.DOA Estimation Fast Algorithm for Short SAmpling Wideband Signals[J].Journal of Electronics & Information Technology,2008,30(10):2525-2528.
Authors:Jin Yong  Huang Jian-guo  Zhang Li-jie
Affiliation:College of Marine, Northwestern Polytechnical University, Xi’an, 710072, China
Abstract:Approximated Maximum Likelihood (AML) estimator has been shown to be the best performance in short sampling wideband sources DOA estimation. However, the computation burden of AML is very large. In order to resolve the question of computation burden, Markov Monte Carlo methods are combined with Approximated Maximum Likelihood DOA estimator. A novel Approximated Maximum Likelihood DOA Estimator based on Gibbs Sampling (AMLGS) is proposed. AMLGS not only keeps the excellent performance of the original AML, but also reduces the computation greatly, from the computational complexity of original method
to .
Keywords:Wideband signals  short Sampling  Approximated Maximum Likelihood (AML) estimator  DOA estimation  Computational complexity
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