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基于正负线性调频信号的压缩感知波形分离方法

  • 陈桥 ,
  • 童宁宁 ,
  • 丁珊珊 ,
  • 胡仁荣
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  • 空军工程大学防空反导学院,西安 710051

陈桥(1994-),男,天津武清人,硕士研究生,研究方向:MIMO雷达成像研究。

收稿日期: 2018-06-28

  网络出版日期: 2025-05-19

基金资助

国家自然科学基金(6157010318)

CS-based Waveform-separation Method Based on Positive and NegativeLinear Frequency Modulation Signal

  • CHEN Qiao ,
  • TONG Ningning ,
  • DING Shanshan ,
  • HU Renrong
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  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2018-06-28

  Online published: 2025-05-19

摘要

基于压缩感知的波形分离方法代替了传统的匹配滤波过程,改善了波形分离效果。由发射波形集及其时延构成的感知矩阵列相关性直接影响重构效果,因此选择发射波形是关键。研究了感知矩阵的列相关性取决于发射信号自相关和互相关性能,因此对比分析了相位编码、OFDM-chirp和正负线性调频信号的相关性能,构造出感知矩阵进行仿真。得出正负线性调频信号应用于压缩感知波形分离方法使得成像效果最佳。

本文引用格式

陈桥 , 童宁宁 , 丁珊珊 , 胡仁荣 . 基于正负线性调频信号的压缩感知波形分离方法[J]. 弹箭与制导学报, 2019 , 39(4) : 37 -40 . DOI: 10.15892/j.cnki.djzdxb.2019.04.010

Abstract

CS-based waveform-separation method replaces the traditional matched filtering and effectively improves the results. The waveform selection is the key link of this method, because sensing matrix column correlation will influence the effect of restructuring which is related to transmitting waveforms and time delay. Theoretical analysis shows that the column correlation depends on transmitting waveforms' autocorrelation and cross-correlation performance. Therefore the paper compared and analyzed phase coded signal、OFDM-chirp and positive and negative linear frequency modulation signal and constructed relevant sensing matrix to simulate. The result is that the positive and negative linear frequency modulation signal has the best function

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