高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

短采样宽带信号方位估计快速算法

金勇 黄建国 张立杰

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. doi: 10.3724/SP.J.1146.2007.00550
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. doi: 10.3724/SP.J.1146.2007.00550
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. doi: 10.3724/SP.J.1146.2007.00550
Citation: 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. doi: 10.3724/SP.J.1146.2007.00550

短采样宽带信号方位估计快速算法

doi: 10.3724/SP.J.1146.2007.00550
基金项目: 

国家自然科学基金(60572098)和航空科学基金(05F53027)资助课题

DOA Estimation Fast Algorithm for Short Sampling Wideband Signals

  • 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)。
  • [1] Kim H, and Viberg M. Two decades of array signal processingresearch[J].IEEE Signal Magazine.1996, 13(4):67-94 [2] Fabrizio S. Robust auto-focusing wideband DOA estimation.Elsevier Signal Processing, 2006, 86(1): 17-37. [3] Yeo-Sun Y, Lance M, and James H. Tops: New DOAestimation for wideband signals[J].IEEE Trans. on SignalProcessing.2006, 54(6):1977-1989 [4] Joe C, Ralph E, and Kung Yao, Maximum-likelihood sourcelocalization and unknown sensor location estimation forwideband signals in the near-field. IEEE Trans. on SignalProcessing, 2002, 50(8): 1843-1854. [5] M Li and Y Liu. Genetic algorithm based maximumlikelihood DOA estimation, RADAR, 15-17 Oct, 2002:502-506. [6] Len Yip, Joe C, Ralph E, and Kung Yao, Numericalimplementation of the AML algorithm for wideband DOAestimation, Advanced Signal Processing Algorithm,Architecture, and Implementations XIII, Proceeding SPIE2003, 5205: 164-172. [7] Larocque J R and Reilly J P. Reverisble iump MCMC forjoint detection and estimation of sources in colored noise.IEEE Trans. on Signal Processing, 2002, 52(2): 231-240. [8] Djuric P M, Huang Yufei, and Ghirmai T. Perfect sampling:A review and applications to signal processing[J].IEEE Trans.on Signal Processing.2002, 50(2):345-356 [9] EA S mold and Gibbs sampling. In Handbook of Statistics. C.R. Rao Ed. New York Elsevier, 1993, 9: 599-655. [10] West M. Approximating posterior distributions by mixtures.Journal of the Royal Statistical Society (Ser. B), 1998, 54(6):553-568.
  • 加载中
计量
  • 文章访问数:  3335
  • HTML全文浏览量:  106
  • PDF下载量:  803
  • 被引次数: 0
出版历程
  • 收稿日期:  2007-04-09
  • 修回日期:  2007-11-09
  • 刊出日期:  2008-10-19

目录

    /

    返回文章
    返回