电子学报 ›› 2015, Vol. 43 ›› Issue (12): 2368-2373.DOI: 10.3969/j.issn.0372-2112.2015.12.004

• 学术论文 • 上一篇    下一篇

基于多帧观测联合感知的空时自适应处理

方明1, 戴奉周1, 刘宏伟1, 王小谟1,2   

  1. 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;
    2. 中国电子科学研究院, 北京 100041
  • 收稿日期:2014-11-20 修回日期:2015-04-23 出版日期:2015-12-25 发布日期:2015-12-25
  • 通讯作者: 戴奉周
  • 作者简介:方明 男,1987年生于浙江台州.现在西安电子科技大学攻读博士学位,研究方向为认知雷达、空时自适应处理、目标检测.E-mail:zj02065119@163.com
  • 基金资助:

    国家自然科学基金(No.61201285,No.61271291);新世纪优秀人才支持计划(No.NCET-09-0630);全国优秀博士学位论文作者专项资金资助项目(No.FANEDD-201156)

Space-Time Adaptive Processing Based on Jointly Sensing of Multiple Measurements

FANG Ming1, DAI Feng-zhou1, LIU Hong-wei1, WANG Xiao-mo1,2   

  1. 1. National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China;
    2. China Academy of Electronics and Information Technology, Beijing 100041, China
  • Received:2014-11-20 Revised:2015-04-23 Online:2015-12-25 Published:2015-12-25

摘要:

在机载雷达体制中,空时自适应处理STAP(Space-Time Adaptive Processing)可有效抑制杂波并显著提高雷达对慢动目标的检测性能.但是在非均匀环境中,缺乏独立同分布的训练样本会使STAP性能严重下降.针对这个问题,本文提出一种基于多帧观测联合感知的空时自适应处理方法.该方法交替发射正交信号和普通的相控阵信号.检测前,通过当前及先前的环境回波感知观测场景获取杂波信息;检测时,先利用杂波信息结合平台参数及系统参数估计杂波协方差矩阵,再将估计的协方差矩阵与样本协方差矩阵进行组合以构造空时滤波器,抑制杂波,提高输出信杂比.仿真结果表明,与现有的知识辅助类STAP算法和降维算法相比,该方法在缺乏准确先验知识的情况下,可以有效地抑制非均匀杂波.

关键词: 机载雷达, 杂波抑制, 空时自适应处理, 联合感知, 正交信号

Abstract:

Space-time adaptive processing (STAP) is widely used for clutter mitigation in airborne radar.However,STAP shows significantly performance degradation for lacking sufficient independent identically distributed (IID) training samples in heterogeneous environment.To solve this problem,we propose a STAP approach based on jointly sensing of multiple measurements.The method sets the radar work with orthogonal and identical waveforms alternately,and achieves the clutter information by current and previous environment echoes.Then the clutter information and platform parameters are used,and a clutter covariance matrix is obtained incorporating system parameters.Finally the space-time processor can be built based on the combination of the estimated clutter covariance matrix and the sample covariance matrix.The simulation results show that the new approach can achieve better clutter mitigation performance under the circumstance of inaccurate environmental knowledge.

Key words: airborne radar, clutter mitigation, space-time adaptive processing (STAP), jointly sensing, orthogonal waveform

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