...
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Target Localization in Multistatic Passive Radar Using SVD Approach for Eliminating the Nuisance Parameters
【24h】

Target Localization in Multistatic Passive Radar Using SVD Approach for Eliminating the Nuisance Parameters

机译:基于SVD方法的多站无源雷达目标定位消除干扰参数。

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, a weighted least squares (WLS) method is presented to find the location of a single target by the use of bistatic range (BR) measurements in multistatic passive radar. The proposed method is based on the idea of eliminating the nuisance parameter. Then, the method employs several WLS minimizations to obtain the target location estimate. The weighting matrix producing a significant improvement in the performance of the method is derived in two different conditions-one of them results in the maximum likelihood estimator (MLE) and the other one leads to the best linear unbiased estimator (BLUE). The accuracy properties of the method are analyzed, and the Cramer-Rao lower bound (CRLB) for target localization accuracy is also derived. In addition, in a two-dimensional space and in the case of localizing with one transmitter and the minimal number of receivers, the different placements of receivers are analytically determined, in each of which the location solution is not unique. Furthermore, from different aspects, the BR-based localization is compared to the hyperbolic localization derived from range difference (RD) measurements.
机译:本文提出了一种加权最小二乘(WLS)方法,通过在多基地无源雷达中利用双基地距离(BR)测量来找到单个目标的位置。所提出的方法基于消除干扰参数的思想。然后,该方法采用了几种WLS最小化来获得目标位置估计。在两种不同的条件下,得出了可显着改善该方法性能的加权矩阵,其中一种导致最大似然估计器(MLE),另一种导致最佳线性无偏估计器(BLUE)。分析了该方法的精度属性,并得出了用于目标定位精度的Cramer-Rao下界(CRLB)。另外,在二维空间中,并且在定位一个发射器和最少数量的接收器的情况下,通过分析确定接收器的不同位置,在每个位置中定位解决方案都不是唯一的。此外,从不同的方面,将基于BR的定位与从距离差(RD)测量得出的双曲线定位进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号