强干扰下的基于子空间分解的信源侦察  

Source Detection based on Subspace Decomposition Technique under Strong Interference

作　　者：侯友国[1,2] 郭伟[1] 谭文群[2] 

机构地区：[1]电子科技大学通信抗干扰国家重点实验室,成都610054 [2]江西南昌工程学院,南昌330099

出　　处：《电子测量与仪器学报》2008年第6期83-86,共4页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金项目(60472052、10577007);教育部“新世纪优秀人才支持计划”项目(2004年度);战术通信抗干扰技术国防科技重点实验室基金项目资助

摘　　要：在空间阵列信号处理中,首先要估计信号源的个数和波达方向,然后才能正确接收信号。一般的阵列信号源数和方向估计都是在噪声环境里进行的。本文提出了在强干扰环境里,对信号源个数和波达方向的估计。首先分析了子空间抑制强干扰的原理,然后介绍了用Gerschgorin半径估计信号源数目和MUSIC方法估计波达方向的原理,最后在强干扰、加性高斯白噪声和色噪声的情况下进行验证,仿真结果证明了这种思想的有效性。The source number and DOA （ direction of arrival） must be estimated in the space array signal processing before receiving signal correctly. The source number and DOA are always estimated in noise environment. The estimation method of source number and DOA in strong interference is presented in the paper. Firstly, the strong jams are removed by subspace decomposition technique. Secondly, the estimation methods of the source number based on Gerschgorin radii and DOA based on MUSIC method are introduced. Finally, the proposed method is verified in the environment of strong interference, Gaussian white noise and Gaussian colored noise.

关 键 词：信号源数 来波方向 阵列信号 强干扰 

分 类 号：TN929.5[电子电信—通信与信息系统] TE27[电子电信—信息与通信工程]