Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (23): 137-140.

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Jointly estimating four-dimensional parameters of near field sources based on second-order statistics

XU Qian1,LIANG Hong1,HU Guangbo1,2   

  1. 1.College of Marine Engineering,Northwestern Polytechnical University,Xi’an 710072,China
    2.91640 Unit,the People’s Liberation Army of China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-08-11 Published:2011-08-11

基于二阶统计量的近场源四维参数联合估计

徐 骞1,梁 红1,胡光波1,2   

  1. 1.西北工业大学 航海学院,西安 710072
    2.中国人民解放军 91640部队

Abstract: An algorithm for jointly estimating frequencies,bearings,elevations and ranges of near field sources is proposed,which based on Second-Order Statistics(SOS) matrix.The algorithm uses the center-symmetric cross-array and constructs SOS matrices using sensor outputs.Combined with the characteristics of these matrices this algorithm constructs new matrices,and using information on eigenvalues and eigenvectors,the source parameters are obtained.The algorithm only uses six SOS matrices to estimate four-dimensional parameters,in addition,the estimated parameters are paired automatically.The simulation results show that the algorithm can accurately estimate the parameters of near field sources.

Key words: near field source, second-order statistics, frequency estimate, bearing estimate, elevation estimate, range estimate

摘要: 研究了一种基于二阶统计量的近场窄带信源频率、方位角、仰角和距离四维参数的联合估计算法。该算法利用中心对称的十字阵列,根据阵元输出构造二阶统计量矩阵,并结合这些矩阵的特点构造新矩阵,利用特征值和特征向量信息得到信源参数。该方法仅需计算6个二阶统计量矩阵就可以估计四维参数,此外参数自动配对。仿真结果表明该算法能准确地估计近场源参数。

关键词: 近场源, 二阶统计量, 频率估计, 方位角估计, 仰角估计, 距离估计