基于多个天线阵组网的短波协同定位方法*

南京大学学报(自然科学版) ›› 2012, Vol. 48 ›› Issue (1): 20–25.

基于多个天线阵组网的短波协同定位方法*

俞春华^1·2，张兴敢^1.2**，柏业超^1·2

出版日期:2015-05-16 发布日期:2015-05-16
作者简介: (1.南京大学电子科学与工程学院，南京，210093;
2.东南大学移动通信国家重点实验室，南京，210096)
基金资助:
(东南大学移动通信国家乖点实验室开放课题(200902)

Cooperative location method in short wave based on multiple antenna arrays networking

Yu Chun一Hua^1.2，Zhang Xinhg-Gan^1,2，Bai Ye-Chao ^1.2

Online:2015-05-16 Published:2015-05-16
About author: (1 .School of Electronic Science and Engineering, Nanjing University, Nanjing, 210093，China
2. State Kev Laboratorv of Mobile Communications. Naniing. 210096，China)

摘要/Abstract

摘要： 短波信号存在着超视距、时变衰落和十扰信号多等特点，因此很难对短波信号发射源进行定位.为解决以上问题，本文首次提出一种多个天线阵列组网、系统协同定位短波发射源的为一法.该为一法使
用全向天线均匀线性阵列，可以接收不同为一向的短波信号;充分利用信号循环平稳特性，采用基于循环多信号分类的空间谱估计为一法，该为一法根据接收信号计算循环自相关矩阵，通过奇异值分解求取信号子
空间和噪声子空间，估计出感兴趣信号的波达为一向;最后使用新型多信道接收测向设备和中央控制器等设备组网，整个系统综合分析确定短波信号发射源位置.该为一法通过不同地点的子阵列测向并采用加权
平均法，可以利用各电离层通道之间的不相关性，减少定位计算对信道变化的敏感度，提高复杂环境下的定位准确度.同时该为一法组网灵活，数据传输快.在有噪声和十扰信号的情况下，仿真研究表明该为一法
有效且稳定性较强，与MUSIC测向后定位为一法比较，该为一法有更强的信号选择性和抗十扰性，并且天线阵元数更少.

Abstract: Since short wave signal features in transmission out of sight，time-variant fading and coexisting interferences, it is hard to locate short wave emission source.To solve the problem above，a cooperative method
through multiple antenna arrays networking is proposed in this paper for the first time. To receive short wave signals from different direction, omnidirectional uniform linear antenna arrays arc applied
in the method. In this paper, a spatial spectrum estimation algorithm called cyclic multiple signal classification (Cyclic MUSIC) is also applied for the cyclostationarity of short wave signal.To improve the performance of the
conventional multiple signal classification, Cyclic MUSIC is shown to be effective to combat noise and interference signals by exploiting cyclostationarity.The cyclic autocorrclation matrix of received short wave signals is calculated
first，the autocorrclation matrix exploited by Cyclic MUSIC method is generally not Hermitian, instead of using the cigenvaluc decomposition, Cyclic MUSIC uses the singular value decomposition of the autocorrclation matrix, which
can produce signal subspace and noise subspace. Based on the signal subspace，the Cyclic MUSIC spatial spectrum can be obtained. Finally, by searching for the highest peak in the spectrum, the direction of arrival of signal of
interest is estimated.The network is composed of new type of multichanncl receiving and direction finding equipments with central controller, which can jointly locate short wave emission source by multiple antenna arrays.
Some antenna arrays in different places detect the direction of short wave signal of interest，and the weighed averaging algorithm is adopted to locate the short wave emission source. It can make use of uncorrclation between
ionosphere channels, which can reduce the sensitivity to the channel change, and improve the accuracy of location in complex environment, In this paper, the networking is flexible and the data transmission rate is very high. The
proposed method performs well in the presence of noise and interference signals, and the simulation results show that the method is efficient and very stable, can ensure stronger selectivity and anti-jamming of signal than the
method based on MUSIC，and needs less antenna array elements.

俞春华^1·2，张兴敢^1.2**，柏业超^1·2. 基于多个天线阵组网的短波协同定位方法*
[J]. 南京大学学报(自然科学版), 2012, 48(1): 20–25.

Yu Chun一Hua^1.2，Zhang Xinhg-Gan^1,2，Bai Ye-Chao ^1.2. Cooperative location method in short wave based on multiple antenna arrays networking
[J]. Journal of Nanjing University(Natural Sciences), 2012, 48(1): 20–25.

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