首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >A study on parameter estimation and suppression for smeared spectrum jamming based on short-time Fourier transform
【24h】

A study on parameter estimation and suppression for smeared spectrum jamming based on short-time Fourier transform

机译:基于短时傅里叶变换的涂抹谱干扰参数估计与抑制研究

获取原文
           

摘要

We address the suppressing problem of smeared spectrum (SMSP) jamming from the mixed signal received by the radar. To this end, we resort to the time-frequency analysis algorithm and give the concrete expression formula of the short-time Fourier transform (STFT) of SMSP jamming. The proposed method is to estimate the parameters of the jamming signal based on the STFT result, and then the jamming signal is reconstructed and suppressed form the mixed signal. In order to perform effective interference even after the pulse compression process, the jamming-to-target ratio (JSR) is always positive. Based on this assumption, the estimation steps for different parameters of SMSP jamming are given, including the number of sub-waveforms, the amplitude, and the time delay. The influence of choosing different window is also considered in this paper. The estimated performance of this method is verified by Monte Carlo simulation, and the results show the effectiveness of the proposed method.
机译:我们通过雷达接收的混合信号来解决糊状谱(SMSP)干扰的抑制问题。为此,我们采取了时频分析算法,并提供了SMSP干扰的短时傅里叶变换(STFT)的混凝土表达式公式。所提出的方法是基于STFT结果估计干扰信号的参数,然后重建并抑制混合信号的干扰信号。为了在脉冲压缩过程之后执行有效的干扰,卡姆到目标比率(JSR)总是正的。基于该假设,给出了SMSP干扰的不同参数的估计步骤,包括子波形,幅度和时间延迟的数量。本文还考虑了选择不同窗口的影响。通过Monte Carlo模拟验证了该方法的估计性能,结果表明了该方法的有效性。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号