A Direct Localization Method of HF Co-Channel Multi-Target Based on Joint Cross-Spectrum Functions

XIA Nan; XING Bao-hui; GAO Dan-yang; CUI Tong

doi:10.12263/DZXB.20210143

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A Direct Localization Method of HF Co-Channel Multi-Target Based on Joint Cross-Spectrum Functions

PAPERS | 更新时间：2025-12-08

- A Direct Localization Method of HF Co-Channel Multi-Target Based on Joint Cross-Spectrum Functions
- ACTA ELECTRONICA SINICA Vol. 50, Issue 10, Pages: 2462-2468(2022)
- 作者机构：
  
  大连工业大学，辽宁大连 116034
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20210143
  CLC： TN911.72;
- Received：22 January 2021，
  
  Revised：2021-11-25，
  
  Published：25 October 2022
- 稿件说明：
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夏楠,邢宝辉,高丹阳等.基于联合互谱函数的短波同频多目标直接定位方法[J].电子学报,2022,50(10):2462-2468.

XIA Nan,XING Bao-hui,GAO Dan-yang,et al.A Direct Localization Method of HF Co-Channel Multi-Target Based on Joint Cross-Spectrum Functions[J].ACTA ELECTRONICA SINICA,2022,50(10):2462-2468.
夏楠,邢宝辉,高丹阳等.基于联合互谱函数的短波同频多目标直接定位方法[J].电子学报,2022,50(10):2462-2468. DOI： 10.12263/DZXB.20210143.

XIA Nan,XING Bao-hui,GAO Dan-yang,et al.A Direct Localization Method of HF Co-Channel Multi-Target Based on Joint Cross-Spectrum Functions[J].ACTA ELECTRONICA SINICA,2022,50(10):2462-2468. DOI： 10.12263/DZXB.20210143.

摘要

针对短波通信中的同频干扰问题，本文通过短波信号建模和计算时差样本点构建空间频移算子，从而进行时域信号的离散空间变换，大幅度抑制了多径和噪声分量的干扰.提出了信号的空间域稀疏化方法并利用聚类算法实现多发射源的直接定位.仿真结果表明，该算法性能在信噪比和信干比都较低的情况下优于现有的到达时间差（Time Difference Of Arrival，TDOA）定位算法，实测结果表明所提算法定位相对误差小于3%.

Abstract

With regard to the problem of co-channel interference in HF(High Frequency) communications

the HF signal is modeled and a set of random samples of time difference is introduced to construct the spatial frequency shift operator and give the discrete spatial transform of the time-domain signals. The influence of multipath and noise components are significantly reduced in the spatial domain. Then

the spatial sparse method combining with the clustering algorithm is proposed to realize the co-channel transmitters direct localization. Simulation results show that the localization performance of the proposed algorithm outperforms the existing time difference of arrival(TDOA) localization algorithm in the case of low signal-to-noise ratios(SNR) and low signal-to-interference ratios(SIR)

and experimental results reveal that the relative locating error of the proposed method is less than 3%.

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references

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