米波阵列测高的空间平滑算法性能优化  

Performance Preferences of Spatial Smoothing Algorithm for Height-finding Method of Meter-wave Arrays

作　　者：马献德[1] 路彬彬[1] 冯兵[1] 

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《现代雷达》2014年第10期49-53,57,共6页Modern Radar

摘　　要：在米波阵列低仰角测高问题中,由于直达波与反射波信号相干,多信号分类算法不能直接处理,往往需要进行去相干预处理。前后向空间平滑(FBS)方法可用于实现相干信号的去相干,以往的文献注重于分析接收数据平均协方差矩阵的满秩条件。文中分析了即使在满秩条件下,也会出现去相干失效、仰角误差很大的现象,并通过仿真分析了阵列重要参数和算法自身参数对FBS方法去相干性能以及仰角估计误差的影响,指出了选择阵列参数和FBS参数以取得最佳的仰角估计精度方法。Due to multipath effect,the directly arriving signal and the reflected signal are coherent for meter-wave arrays when the targets are in low altitude,and this phenomenon makes it impossible to accomplish height-finding directly via the MUSIC algorithm.Usually it is necessary to undertake coherence reducing pretreatment procedure.Forward-backward Smoothing （FBS） method can be applied to achieve this goal.Existing literatures tended to focus on analyzing the rank of the averaged covariance matrix of the received data after space smoothing operation,and analyzing the conditions that makes this matrix full-rank.This paper shows that even if the averaged covariance matrix is full-rank,there will still be the phenomenon of coherence reducing invalidation and hence large elevation errors.Simulations show the influence of important array parameters and FBS parameters to the performance of coherence reducing and elevation estimating errors.It is pointed out how to select array parameters and FBS parameters to gain the best elevation estimating precision.

关 键 词：空间平滑 测高 去相干 米波 

分 类 号：TN911.7[电子电信—通信与信息系统]