无源雷达目标信号时延与多普勒频率联合估计

王鹏; 邱天爽; 李景春; 谭海峰

doi:10.11959/j.issn.1000-436x.2015124

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无源雷达目标信号时延与多普勒频率联合估计

学术论文 | 更新时间：2024-06-05

- 无源雷达目标信号时延与多普勒频率联合估计
- Joint estimation of target time delay and Doppler frequency in passive radar system
- 通信学报 2015年36卷第5期页码：47-55
- 作者机构：
  
  1. 大连理工大学电子信息与电气工程学部，辽宁大连 116024
  2. 国家无线电监测中心，北京100037
  3. 北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
  
  [ "王鹏（1989-），男，河北宁晋人，大连理工大学博士生，主要研究方向为雷达信号处理、无线电信号处理和阵列信号处理。" ]
  [ "邱天爽（1954-），男，江苏海门人，博士，大连理工大学教授、博士生导师，主要研究方向为统计信号处理、射频与通信信号处理等。" ]
  [ "李景春（1966-），男，河北宁晋人，博士，国家无线电监测中心副主任兼总工程师，主要研究方向为无线电监测理论与应用等。" ]
  [ "谭海峰（1977-），男，湖北枝江人，国家无线电监测中心高级工程师，主要研究方向为无线电监测理论技术等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61139001);国家自然科学基金资助项目(61172108);国家自然科学基金资助项目(81241059)
- DOI：10.11959/j.issn.1000-436x.2015124
  中图分类号： TN958.97
- 网络首发：2015-05，
  
  纸质出版：2015-05-25
- 稿件说明：
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王鹏, 邱天爽, 李景春, 等. 无源雷达目标信号时延与多普勒频率联合估计[J]. 通信学报, 2015,36(5):47-55.

ANGPeng W, IUTian-shuang Q, IJing-chun L, et al. Joint estimation of target time delay and Doppler frequency in passive radar system[J]. Journal on Communications, 2015, 36(5): 47-55.
王鹏, 邱天爽, 李景春, 等. 无源雷达目标信号时延与多普勒频率联合估计[J]. 通信学报, 2015,36(5):47-55. DOI： 10.11959/j.issn.1000-436x.2015124.

ANGPeng W, IUTian-shuang Q, IJing-chun L, et al. Joint estimation of target time delay and Doppler frequency in passive radar system[J]. Journal on Communications, 2015, 36(5): 47-55. DOI： 10.11959/j.issn.1000-436x.2015124.

摘要

提出一种基于STFRFT的无源雷达目标时延与多普勒联合估计新方法。首先，给出了一种STFRFT时频分辨率量化方法及其数学表达式；其次，利用STFRFT的投影包络对回波信号时延与Doppler频移进行了联合估计；最后，讨论分析了脉内信噪比、高斯窗参数等对所提方法估计性能的影响。仿真结果表明，与 CAF 方法相比，所提方法更容易获得高精度的时延与Doppler频移的联合估计，具有更高的可靠性。

Abstract

A novel method of joint estimation of time delay and Doppler shift in passive radar system based on short-time fractional Fourier transform (STFRFT) was proposed.Firstly

the mathematical expression of the STFRFT time-frequency resolution was studied for the quantitative comparison.Secondly

based on the projection envelops of STFRFT

a new method to estimate the time delay and Doppler shift was put forward.Finally

the factors related with the estimation precision such as signal-to-noise ratio (SNR)

parameters of Gaussian window were analyzed.The simulation results demonstrate that compared with the CAF based method

proposed method can get precise time delay and Doppler shift estimations with higher probability.

关键词

Keywords

references

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