一种快速收敛的自适应波束形成算法  

Adaptive Beamforming Algorithm with Fast Convergence Speed

作　　者：赵季红[1,2] 张瑞卿[1] 曲桦[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049 [2]西安邮电大学通信与信息工程学院,西安710061

出　　处：《北京邮电大学学报》2014年第5期105-108,共4页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(61372092);国家无线重大专项项目(2013ZX03002010-003);国家高技术研究发展计划项目(2014AA01A701)

摘　　要：为了解决传统最小均方(LMS)自适应波束形成算法在低信噪比环境下收敛速度较慢的问题,提出了一种快速收敛的小波域自适应波束形成算法.该算法利用小波变换软阈值法消除信号中的加性高斯白噪声,并在此基础上将牛顿法应用于LMS算法中,提高了小波域LMS算法的收敛速度.仿真结果表明,相比传统LMS算法,在低信噪比环境下,该算法收敛速度加快,稳态误差减小,波束形成精确度有较大的提高;同时相对于已有的小波域LMS算法,该算法的收敛速度和精度也有所提高.The conventional least mean square （LMS） based adaptive beamforming converges very slowly under low signal-to-noise ratio （SNR）, thus an adaptive beamforming algorithm in wavelet domain with a fast convergence rate was put forward. The white Gaussian noise could be erased by means of wavelet transform soft-threshold method. Besides, Newton＇s method was further applied in LMS algorithm for beamforming in wavelet domain. Simulation shows that the proposed algorithm indeed improve the conver- gence accuracy and the convergence rate compared with either the conventional LMS algorithm or the ex- isted LMS algorithm in wavelet domain. It also substantially improves the accuracy of heamforming com- pared with the conventional LMS algorithm.

关 键 词：自适应波束形成 小波变换 牛顿法 

分 类 号：TN929.53[电子电信—通信与信息系统]