J4 ›› 2013, Vol. 40 ›› Issue (2): 98-102+122.doi: 10.3969/j.issn.1001-2400.2013.02.016

• 研究论文 • 上一篇    下一篇

一种用于弱信号检测的广义Keystone变换算法

赵永波;周晓佩;王娟   

  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)
  • 收稿日期:2011-11-18 出版日期:2013-04-20 发布日期:2013-05-22
  • 通讯作者: 赵永波
  • 作者简介:赵永波(1972-),男,教授,E-mail: ybzhao@xidian.edu.cn.
  • 基金资助:

    航空科学基金资助项目(20090181007)

Generalized Keystone transform algorithm for dim moving target detection

ZHAO Yongbo;ZHOU Xiaopei;WANG Juan   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2011-11-18 Online:2013-04-20 Published:2013-05-22
  • Contact: ZHAO Yongbo

摘要:

针对微弱信号在长时间相干积累检测过程中,当用Keystone变换校正回波越距离单元走动时,存在相干积累的结果与选取的基准对齐脉冲有关的问题,提出了一种广义的Keystone变换算法.首先寻找数字脉冲压缩过程中离散时间采样误差最小的脉冲,然后以此脉冲为对齐基准,利用Keystone变换将所有脉冲回波校正到同一距离分辨单元,从而保证了相干积累结果取得最大值.

关键词: 微弱信号检测, 长时间相干积累, 越距离单元走动, 广义Keystone变换, 离散时间采样误差

Abstract:

Aimed at the problem that the accumulation result varies with the choice of the benchmark pulse used in the Keystone transform to correct range migration, a generalized Keystone transform algorithm is proposed for detecting the dim moving target via long-term coherent integration. The algorithm first searches for the minimum error of discrete time sampling and the corresponding pulse from digital pulse compression. Afterwards, this pulse echo is used as the benchmark in the Keystone transform, by which all the pulse echoes are corrected into the same range resolution cell. Accordingly, the maximum output after accumulation is obtained. Computer simulation and real data processing results are given to verify the effectiveness of the proposed method.

Key words: dim target detection, long-term coherent integration, range migration, generalized Keystone transform, discrete time sampling error