吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (3): 991-997.doi: 10.13229/j.cnki.jdxbgxb201503045

• • 上一篇    下一篇

基于压缩思想的低运算近场信号估计算法

司伟建, 李晓林   

  1. 哈尔滨工程大学 信息与通信工程学院,哈尔滨150001
  • 收稿日期:2013-09-10 出版日期:2015-05-01 发布日期:2015-05-01
  • 通讯作者: 李晓林(1989-),女,博士研究生.研究方向:宽带信号的检测、识别和处理. E-mail:swj0418@263.net
  • 作者简介:司伟建(1971-),男,研究员,博士.研究方向:宽带信号的检测、识别和处理.
  • 基金资助:
    中央高校基本科研业务费项目(HEUCF130804)

Low-complexity near-sources location estimation based on the idea of compression

SI Wei-jian, LI Xiao-lin   

  1. School of Information and Communication Engineering, Harbin Engineering University,Harbin 150001, China
  • Received:2013-09-10 Online:2015-05-01 Published:2015-05-01

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摘要： 针对近场源参数估计计算复杂度大的问题,提出了一种基于对称阵列结构的快速估计算法。首先通过对称阵列结构构造多项式,通过求解多项式的根得到近场源的角度信息;在距离估计的时候,结合压缩多重信号分类算法(Compressed multiple signal classification, C-MUSIC)的思想,将菲涅尔区域分为若干个子区域,通过构造噪声子空间簇的交集,得到新的谱函数,将原来整个区域搜索变换成小区域搜索,可节省运算时间。通过仿真试验验证了算法的有效性,证明该算法的运算复杂度与传统估计算法相比得到了很大改善。

关键词: 通信技术, 近场信号估计, 对称阵列结构, 压缩多重信号分类算法, 求根多重信号分类算法

Abstract: The complicated computation has always been a serious problem in the parameter estimation of near-field sources. Based on the symmetrical array structure, a new computational efficient method for Range-of-Arrival (ROA) estimation of near-field sources is proposed. First, the polynomial is constructed through the symmetrical array structure, and the angle information of the near-field sources is obtained by solving the roots of the polynomial. Estimation of the range information is combined with the idea of compressed multiple signal classification (MUSIC). Dividing the Fresnel range into sub-intervals, the new spectral function is obtained by constructing the intersection of these noise sub-spaces. Thus, the range search is carried out in the small area instead of the whole area, which reduces the processing time. Simulation results show that the performance of the proposed algorithm is better than that of existing algorithms.

Key words: communication technology, near-field source estimation, symmetrical array structure, compressed multiple signal classification(C-MUSIC), root multiple signal classification(R-MUSIC)

中图分类号: 

  • TP911.7
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