噪声不一致背景下脉冲串辐射源直接定位算法

钟华; 阮怀林; 孙兵; 龚燕

doi:10.7652/xjtuxb202108019

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噪声不一致背景下脉冲串辐射源直接定位算法

更新时间：2025-07-09

- 噪声不一致背景下脉冲串辐射源直接定位算法
- A Direct Location Algorithm of Pulse Train Radiation Source in Nonuniform Noises
- 西安交通大学学报 2021年55卷第8期页码：157-165
- 作者机构：
  
  国防科技大学电子对抗学院,合肥,230037
- 作者简介：
- 基金信息：
  
  : 2021-01-17。作者简介: 钟华(1991—),男,博士生;阮怀林(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(62071476)
- DOI：10.7652/xjtuxb202108019
  中图分类号： TN911.23
- 网络首发：2021-08-10，
  
  纸质出版：2021
- 稿件说明：
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钟华, 阮怀林, 孙兵, 等. 噪声不一致背景下脉冲串辐射源直接定位算法[J]. 西安交通大学学报, 2021,55(8):157-165.

A Direct Location Algorithm of Pulse Train Radiation Source in Nonuniform Noises[J]. 2021, 55(8): 157-165.
钟华, 阮怀林, 孙兵, 等. 噪声不一致背景下脉冲串辐射源直接定位算法[J]. 西安交通大学学报, 2021,55(8):157-165. DOI： 10.7652/xjtuxb202108019.

A Direct Location Algorithm of Pulse Train Radiation Source in Nonuniform Noises[J]. 2021, 55(8): 157-165. DOI： 10.7652/xjtuxb202108019.

摘要

针对无源定位过程中

由于各侦察站噪声功率不一致导致直接定位算法精度下降的问题

提出了一种噪声不一致背景下的脉冲串辐射源直接定位算法。首先利用傅里叶变换构造来波信号

再通过矩阵变换将定位解算问题转换为广义互模糊矩阵最大特征值求解问题

最终得到目标辐射源的位置

并同时推导了噪声功率不一致背景下算法的克拉美罗界。仿真结果表明

随着观测脉冲数和信噪比的增加

所提算法的定位精度均得到有效提高

与现有的噪声一致背景下的直接定位算法相比

当观测脉冲数为120、信噪比为5 dB时

所提算法的定位精度提高约50%。

Abstract

A direct location algorithm of pulse train radiation source in nonuniform noise is proposed to solve the problem that the accuracy of the direct location algorithm is reduced due to the different noise power of each reconnaissance station in the process of passive location. Firstly

Fourier transform is used to construct the incoming wave signal

and then the problem of positioning solution is transformed into a maximum eigenvalue problem of generalized cross ambiguity matrix by matrix transformation. Finally

the location of the target radiation source is obtained

and the Cramer-Rao bound(CRB)of the algorithm is derived under the condition of nonuniform noise power. Simulation results show that the positioning accuracy of the proposed algorithm is effectively improved with the increase of the number of observed pulses and the signal-to-noise ratio(SNR). Compared with the existing DPD algorithm under the same boise background

the positioning accuracy of the proposed algorithm improves by about 50% when the number of observed pulses is 120 and SNR is 5 dB.

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references

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