| 重构分数低阶协方差的子空间拟合测向算法 |
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| 引用本文： | 高洪元,刁鸣.重构分数低阶协方差的子空间拟合测向算法[J].电波科学学报,2009,24(4). |
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| 作者姓名： | 高洪元 刁鸣 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 黑龙江省科技攻关项目 |
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| 摘 要： | 基于重构的分数低阶矩阵,提出了重构分数低阶协方差的多重信号分类测向算法和信号子空间拟合测向算法.为了快速求解所提出的测向算法,设计了一种可进行多维搜索的自适应差分粒子群优化算法.利用粒子群算法和差分进化算法的优点,可以获得测向问题的全局最优解.Monte-Carlo仿真证明了所提测向算法可有效分辨相干源,并且其检测性能优于已有的一些经典算法.
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| 关 键 词： | 分数低阶协方差 信号子空间拟合 MUSIC算法 粒子群优化算法 差分进化算法 |
Direction finding of signal subspace fitting algorithm based on reconstructed fractional lower order covariance |
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| GAO Hong-yuan,DIAO Ming.Direction finding of signal subspace fitting algorithm based on reconstructed fractional lower order covariance[J].Chinese Journal of Radio Science,2009,24(4). |
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| Authors: | GAO Hong-yuan DIAO Ming |
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| Affiliation: | GAO Hong-yuan DIAO Ming (Information , Communication Engineering College,Harbin Engineering University,Harbin Heilongjiang 15000,China) |
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| Abstract: | Based on reconstructed fractional lower order covariance(RFLOC)matrix,a RFLOC-multiple signal classification(MUSIC)algorithm and a RFLOC-signal subspace fitting(SSF)algorithm are proposed for direction finding.In order to quickly implement the proposed algorithms,an adaptive differential particle swarm optimization(ADPSO)algorithm is designed to search multi-dimensional optimal solution.The ADPSO is a global optimization algorithm for direction finding,which takes advantage of the merits of differential evo... |
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| Keywords: | fractional lower order covariance signal subspace fitting multiple signal classification algorithm particle swarm optimization algorithm differential evolutionary algorithm |
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