电子与控制

非均匀环境下利用单个数据集的STAP算法

  • 陈展野 ,
  • 周宇 ,
  • 张林让 ,
  • 赵健 ,
  • 谷亚彬
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  • 西安电子科技大学雷达信号处理国家重点实验室, 西安 710071
陈展野,男,硕士研究生。主要研究方向:空时自适应处理。Tel:029-88203414,E-mail:xdczy@hotmail.com;周宇,男,副教授,硕士生导师。主要研究方向:空时自适应处理、MIMO雷达、认知雷达、复杂环境下微弱目标检测。Tel:029-88203414,E-mail:zhouyu@mail.xidian.edu.cn;张林让,男,教授,博士生导师。主要研究方向:阵列信号处理、雷达系统建模与仿真。Tel:029-88203023,E-mail:lrzhang@xidian.edu.cn;赵健,男,硕士研究生。主要研究方向:雷达信号模拟与分析。Tel:029-88203414,E-mail:zhaojian_xidian@163.com;谷亚彬,男,博士研究生。主要研究方向:SAR回波建模与分析、雷达成像。Tel:029-88203414,E-mail:707759207@qq.com

收稿日期: 2015-01-15

  修回日期: 2015-04-08

  网络出版日期: 2015-04-14

基金资助

国家自然科学基金(61301285);陕西省自然科学基础研究计划(2015JM6314)

Single data set-STAP algorithm in heterogeneous environment

  • CHEN Zhanye ,
  • ZHOU Yu ,
  • ZHANG Linrang ,
  • ZHAO Jian ,
  • GU Yabin
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  • National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China

Received date: 2015-01-15

  Revised date: 2015-04-08

  Online published: 2015-04-14

Supported by

National Natural Science Foundation of China (61301285); Natural Science Basic Research Plan in Shaanxi Province of China (2015JM6314)

摘要

对非均匀环境下利用单个数据集的机载雷达空时自适应处理(SDS-STAP)算法进行了研究。针对现有单个数据集类空时自适应算法存在的问题,提出了一种基于对待测数据集进行空时二维滑窗处理的二维幅度相位估计(2D-APES)算法。该算法利用回波的统计信息,不仅放宽了算法处理器对于雷达系统阵元数与脉冲数选取的约束,而且能够有效抑制杂波及待测单元内的干扰,同时降低了处理器的计算复杂度。最后,仿真数据及实测数据实验验证了所提算法的正确性与有效性。

本文引用格式

陈展野 , 周宇 , 张林让 , 赵健 , 谷亚彬 . 非均匀环境下利用单个数据集的STAP算法[J]. 航空学报, 2015 , 36(12) : 3938 -3946 . DOI: 10.7527/S1000-6893.2015.0101

Abstract

This paper describes the single data set space-time adaptive processing (SDS-STAP) algorithms for airborne radar in heterogeneous environment. For the problems of the present SDS-STAP algorithms, a two-dimensional amplitude and phase estimation (2D-APES) algorithm is proposed based on sliding windows in space-time of the cell under test. The proposed algorithm utilizes the statistical information of the echo, not only broadens the restrictions for the selection of the element and pluse numbers of the radar system, but also suppresses the clutter and the interferences of the cell under test effectively; what's more, it has a low computational complexity. Finally, simulated and real test data verify the validity of the proposed algorithm.

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