射电天文研究室知识库

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 25m antenna, taking the 25m band of the Nanshan L radio telescope into account, analyzing and comparing the advantages and disadvantages of various adaptive ¯ltering and wavelet ¯ltering , a modi¯ed 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 e®ectively eliminate or weaken the interference signal in L band. It can improve the signal to noise ratio and improve the observation ability.