大连工业大学,辽宁大连 116034
[ "夏楠 男,1983年5月出生,辽宁大连人.2013年在大连理工大学获工学博士学位,其后在国家无线电监测中心从事无线电监测定位研究工作,高级工程师,现为大连工业大学信息科学与工程学院副教授.主要研究方向为非线性参数估计技术.E-mail: xianan0520@aliyun.com" ]
[ "邢宝辉 女,1996年10月出生,河北承德人.现为大连工业大学硕士研究生.主要研究方向为通信信号处理和无线电定位." ]
高丹阳 女,1997年11月出生,河北唐山人.现为大连工业大学硕士研究生.主要研究方向为通信信号处理和无线电定位.
崔桐 男,1998年11月出生,辽宁本溪人.现为大连工业大学硕士研究生.主要研究方向为深度学习和信号检测.
收稿:2021-01-22,
修回:2021-11-25,
纸质出版:2022-10-25
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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.
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%.
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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