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

基于连续蚁群优化算法的小快拍加权子空间拟合快速算法

焦亚萌 黄建国 韩晶

焦亚萌, 黄建国, 韩晶. 基于连续蚁群优化算法的小快拍加权子空间拟合快速算法[J]. 电子与信息学报, 2011, 33(4): 972-976. doi: 10.3724/SP.J.1146.2010.00783
引用本文: 焦亚萌, 黄建国, 韩晶. 基于连续蚁群优化算法的小快拍加权子空间拟合快速算法[J]. 电子与信息学报, 2011, 33(4): 972-976. doi: 10.3724/SP.J.1146.2010.00783
Jiao Ya-Meng, Huang Jian-Guo, Han Jing. Continuous Ant Colony Optimization Based Weighted Subspace Fitting Fast Algorithm for DOA Estimation with Few Snapshots[J]. Journal of Electronics and Information Technology, 2011, 33(4): 972-976. doi: 10.3724/SP.J.1146.2010.00783
Citation: Jiao Ya-Meng, Huang Jian-Guo, Han Jing. Continuous Ant Colony Optimization Based Weighted Subspace Fitting Fast Algorithm for DOA Estimation with Few Snapshots[J]. Journal of Electronics and Information Technology, 2011, 33(4): 972-976. doi: 10.3724/SP.J.1146.2010.00783

基于连续蚁群优化算法的小快拍加权子空间拟合快速算法

doi: 10.3724/SP.J.1146.2010.00783
基金项目: 

国家自然科学基金(60972152),航空科学基金 (2009ZC53031),国家重点实验室基金(9140C2304080607)和西北工业大学基础研究基金 (NPU-FFR-W018102)资助课题

Continuous Ant Colony Optimization Based Weighted Subspace Fitting Fast Algorithm for DOA Estimation with Few Snapshots

  • 摘要: 该文针对加权子空间拟合(WSF)算法多维非线性优化计算量大,难以工程应用的问题,将连续空间蚁群算法与加权子空间拟合算法相结合,提出了基于蚁群算法的加权子空间拟合(Ant Colony Optimization based Weighted Subspace Fitting,ACO-WSF) 方位估计新方法。该方法利用连续蚁群算法中的信息量高斯核概率分布函数,经过有限次迭代得到加权子空间拟合算法的非线性全局最优解。仿真结果表明,低信噪比、小快拍条件下该方法估计性能与WSF方法基本相同,优于MUSIC方法,而且显著减少了计算量。
  • Kim H and Viberg M. Two decades of array signal processing research[J].IEEE Signal Magazine.1996, 13(4):67-94[2]Li F and Lu Y. Unified bias analysis of subspace-based DOA estimation algorithms[J].In Multidimensional Signal Processing Algorithms and Application Techniques, Leondes,C T Ed. New York: Academic.1996, 77:149-192[3]Werner K and Jansson M. DOA estimation and detection in colored noise using addition noise-only data[J].IEEE Transactions on Signal Processing.2007, 55(11):5309-5322[4]Stoica P and Gershman A B. Maximum-likelihood DOA estimation by data-supported grid search[J].IEEE Signal Processing Letters.1999, 6(10):273-275[6]Zhou Yuren. Runtime analysis of an ant colony optimization algorithm for TSP Instance[J].IEEE Transactions on Evolutionary Computation.2009, 13(5):1083-1092[7]Juang Chia-feng and Hsu Chia-huang. Reinforcement ant optimized fuzzy controller for mobile-robot wall-following control[J].IEEE Transactions on Industrial Electronics.2009, 56(10):3931-3940[8]Ferrandi F, Lanzi P L, Pilato C, Sciuto D, and Tumeo A. Ant colony heuristic for mapping and scheduling tasks and communications on heterogeneous embedded systems[J].IEEE Transactions on Computer-Aided Design of Integrated Circuits and System.2010, 29(6):911-924[9]Triay J and Cervello-Pastor C. An ant-based algorithm for distributed routing and wavelength assignment in dynamic optical networks[J].IEEE Journal on Selected Areas in Communications.2010, 28(4):542-552[10]Socha K and Dorigo M. Ant colony optimization for continuous domains[J].European Journal of Operational Research.2008, 185(3):1155-1173
  • 加载中
计量
  • 文章访问数:  3326
  • HTML全文浏览量:  54
  • PDF下载量:  842
  • 被引次数: 0
出版历程
  • 收稿日期:  2010-07-28
  • 修回日期:  2010-10-26
  • 刊出日期:  2011-04-19

目录

    /

    返回文章
    返回

    官方微信,欢迎关注