西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (3): 107-113.doi: 10.3969/j.issn.1001-2400.2016.03.019

• 研究论文 • 上一篇    下一篇

一种自适应子空间追踪的基于配准补偿方法

冯为可;张永顺;童宁宁   

  1. (空军工程大学 防空反导学院,陕西 西安  710051)
  • 收稿日期:2015-01-04 出版日期:2016-06-20 发布日期:2016-07-16
  • 通讯作者: 冯为可
  • 作者简介:冯为可(1992-),男,空军工程大学博士研究生,E-mail: fwk5482994@163.com.
  • 基金资助:

    国家自然科学基金资助项目(60372033)

Registration based compensation method based on adaptive subspace tracking

FENG Weike;ZHANG Yongshun;TONG Ningning   

  1. (Air and Missile Defense College, Air Force Engineering Univ., Xi'an  710051, China)
  • Received:2015-01-04 Online:2016-06-20 Published:2016-07-16
  • Contact: FENG Weike

摘要:

先验信息失配(如速度误差、偏航角等)和孔径损失使得基于配准补偿方法的杂波距离相关性补偿性能下降.此外,基于配准补偿方法的运算量大,在大天线阵情况下实现困难.针对上述问题,将最大似然自适应子空间估计算法引入到杂波距离相关性补偿之中,并对最大似然自适应子空间估计算法的迭代过程进行改进,提出了一种新的杂波距离相关性补偿方法,称为基于改进最大似然自适应子空间估计算法的基于配准补偿(MRBC)方法.与基于配准补偿方法相比,MRBC方法无须子孔径平滑、协方差矩阵估计和特征值分解等过程,直接利用最大似然自适应子空间估计方法迭代估计杂波协方差矩阵的瞬时特征向量矩阵和特征值矩阵,能够在保证杂波距离相关性补偿性能的基础上大幅减少运算量.且由于MRBC方法没有利用先验信息,完全基于雷达回波数据,因此不受误差影响.

关键词: 杂波距离相关性, 基于配准补偿, 子空间追踪, MALASE算法

Abstract:

The registration based compensation (RBC) method is an effective method to compensate the range-dependence of the main-lobe clutter and side-lobe clutter in the same time. However, the compensation performance of the RBC degrades because of the mismatch of prior information and the loss of degree of system freedom. Moreover, the RBC is not very suited for real-time implementation because of the enormous computational complexity and memory usage of eigenvalue decomposition. In this paper, a novel clutter range-dependence compensation method using the modified maximum likelihood adaptive subspace estimation algorithm, which is named the MRBC method for short, is proposed. The eigenvectors matrix and eigenvalues matrix of the clutter covariance matrix are estimated by iterative tracking instead of temporal and spatial smoothing, spectrum calculation and eigenvalue decomposition. Compared with the traditional RBC method, the proposed method can reduce the computational complexity significantly and maintain the performance of clutter range-dependence compensation. In addition, the proposed method can also achieve good performance when the system error exists because of no use of prior information. Experimental simulations demonstrate the validity of this method.

Key words: clutter range-dependence, registration based compensation, adaptive subspace tracking, maximum likelihood adaptive subspace estimation algorithm