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修正的ISM频域宽带卫星波束成形

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第 38 卷第 12 期 2017 年 12 月 哈 尔 滨 工 程 大 学 学 报 Journal of Harbin Engineering University Vol. 38 №. 12 Dec. 2017 修 正 的 ISM 频 域 宽 带 卫 星 波 束 成 形 高翔 , 李勇 , 包建荣 科技大学 信息工程学院,浙江 杭州 310018) 摘 要:为了解决现有宽带卫星自适应波束成形存在相干信号源导致的波束成形复杂、频带信号信息无法充分使 1 1 2,3 (1. 西北工业大学 电子信息学院,陕西 西安 710072; 2. 东南大学 移动通信国家重点实验室, 江苏 南京 210096; 3. 杭州电子 用、信源方位估计效果差等缺陷,本文提出了一种修正的非相干信号子空间方法( incoherent signalsubspace method, ISM) 的频域宽带卫星波束成形算法。 基于 ISM 算法,所提出的修正 ISM 算法运用修正多信号分类算法在子带对波 较好宽带波束成形效果。 仿真结果表明:该算法可有效实现相关信号的宽带波束成形,并克服宽带干扰和自相关 信号的波束成形等问题,从而取得了较高分辨率的优异性能。 关键词:自适应波束成形; 修正 ISM; 线性约束最小方差准则; 修正 MUSIC 算法; 高分辨率; 宽带干扰; 宽带卫星 DOI:10. 11990 / jheu. 201702038 中图分类号:TN929. 3 网络出版地址:http: / / www. cnki. net / kcms / detail / 23. 1390. u. 20171113. 0921. 002. html 文献标志码:A 文章编号:10067043(2017)12195706 束信号作谱估计改进,通过接收数据矩阵前向 后向空间平滑去相关处理,使其有效克服宽带信源相关性,获得了 Modified ISMbased frequency domain broadband satellite beamforming cations Research Laboratory, Southeast University, Nanjing 210096, China; 3. School of Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China) (1. School of Electronics and Information, Northwestern Polytechnical University, Xi′ an 710072, China; 2. National Mobile Communi- GAO Xiang , LI Yong , BAO Jianrong 1 1 2,3 Abstract : To solve several deficiencies, such as complex beamforming caused by the coherent signals , inadequate information from the passband signals, and difficulties of accurate source location pre estimation in the current adaptive beamforming of a broadband satellite system , a frequency domain broadband adaptive beamforming algorithm based on the modified incoherent signalsubspace method ( ISM ) was proposed.The proposed ISM algorithm used a modified multiple signal classification algorithm to improve the spectral estimation of the sub band signals .Moreover , the coherence of the received data matrix was eliminated by the forward / backward spatial smoothing technique, which effectively overcomes the coherence of the broadband signals and thus obtains good broadband beamforming effect.Simulation results show that the proposed algorithm can effectively obtain broadband beamforming of the coherent signals and solve the problems of broadband interference and beamforming of the auto correlation signals.Therefore , it can achieve a good beamforming effect with high resolution . Keywords: adaptive beamforming; modified incoherent signalsubspace method; LCMV; modified MUSIC algorithm; high resolution; broadband interference; broadband satellite 目前,同信道干扰、低仰角


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