系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

基于杂波数据Frobenius范数拟合的阵元误差估计方法

姜磊, 王彤   

  1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071
  • 出版日期:2015-11-25 发布日期:2010-01-03

Array error estimation based on Frobenius norm fitting of clutter data

JIANG Lei, WANG Tong   

  1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
  • Online:2015-11-25 Published:2010-01-03

摘要:

机载雷达的阵元误差会影响运动目标的参数估计与定位性能。为了解决这个问题,提出一种基于杂波数据Frobenius范数拟合的阵元误差估计方法。该方法首先利用杂波谱分布结构和雷达构型参数计算杂波空时导向矢量矩阵,接着利用截断的奇异值分解求解杂波幅度矢量并重构杂波数据,最后将实际的数据矩阵与重构的数据矩阵进行Frobenius范数拟合来估计阵元误差。数值仿真实验结果表明,该方法在低脉冲数目、低样本数目的情况下均具有较好的参数估计精度与稳健性。

Abstract:

In the airborne radar system, the parameter estimation and geolocation accuracy of moving targets will be affected by array error. To deal with this problem, a array error estimation method based on Frobenious norm fitting of clutter data is proposed. Firstly, the clutter spacetime steering matrix is computed by using the knowledge of clutter distribution and radar geometry parameters. Then, the truncated singular value decomposition method is utilized to estimate the clutter amplitude vector and reconstruct the clutter data. Finally, array error is estimated by minimizing the distance induced by the Frobenious norm between the received data and the reconstructed data. Numerical simulation results validate that the method can achieve a fine parameter estimation accuracy and provide robustness when the number of snapshots or pulses is limited.