基于MH抽样的Bayesian方位估计快速算法

被引:4
作者
侯云山
黄建国
金勇
机构
[1] 西北工业大学航海学院
关键词
Bayesian方位估计; 马尔可夫蒙特卡罗方法; MH抽样; 计算复杂度;
D O I
10.16182/j.cnki.joss.2009.19.032
中图分类号
TN911.7 [信号处理];
学科分类号
0711 ; 080401 ; 080402 ;
摘要
针对Bayesian方位估计计算量大的问题,将马尔可夫蒙特卡罗方法与Bayesian方位估计相结合,提出一种基于MH(Metropolis-Hastings)抽样的Bayesian方位估计新方法(简称MHB)。该方法将Bayesian算法的空间谱函数作为信号的概率分布函数,并利用MH抽样方法从该概率分布函数中抽样。研究结果表明,MHB方法不但保持了Bayesian方位估计方法的优良性能,而且大大减小了计算量。
引用
收藏
页码:6033 / 6035+6072 +6072
页数:4
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