基于小波变换的改进LMS自适应算法在射电天文数字终端的应用  

Application of Improved LMS Adaptive Algorithm Based on Wavelet Transform in Radio Astronomy Digital Terminal

作　　者：李浩然[1,2] 陈卯蒸[1] 裴鑫[1] 

机构地区：[1]中国科学院新疆天文台,新疆乌鲁木齐830011 [2]中国科学院大学,北京100049

出　　处：《新疆大学学报（自然科学版）》2016年第3期317-322,共6页Journal of Xinjiang University(Natural Science Edition)

基　　金：国家重点基础研究发展计划(973计划)(2015CB857100);国家自然科学基金(U1431230;11253001;11403091)

摘　　要：以新疆天文台南山25m天线改造计划为背景,针对南山25m射电望远镜L波段观测终端,分析对比多种自适应滤波及小波滤波的优缺点,提出一种基于小波分解的改进LMS自适应算法,对脉冲星观测信号进行干扰噪声消除.该算法在单通道干扰消除、权值更新机制、变步长算法等方面提出了独特的想法.仿真结果表明,基于小波变换的改进LMS自适应算法性能良好,能对L波段内的干扰信号起到有效的消除或减弱,达到提高信号信噪比、提升观测能力的目的,具有一定的应用价值.Based on the background of the reform of the Xinjiang Observatory Nanshan 25 m antenna,taking the 25 m band of the Nanshan L radio telescope into account, analyzing and comparing the advantages and disadvantages of various adaptive filtering and wavelet filtering, a modified LMS adaptive algorithm based on wavelet decomposition is proposed. The algorithm proposed a unique idea in single channel interference cancellation, weight updating mechanism, variable step size algorithm and so on. Simulation results show that the improved LMS adaptive algorithm based on wavelet transform has good performance and can effectively eliminate or weaken the interference signal in L band. It can improve the signal to noise ratio and improve the observation ability.

关 键 词：脉冲星观测终端 小波分解 LMS自适应算法P1 

分 类 号：P111.44[天文地球—天文学] P161.3