【摘要】 在通信系统中,符号率的准确提取是参数估计的重要环节。传统的估算方法,在低SNR条件下,估计的误差较大,很难对符号率进行准确估计。在分析现有符号率估计算法的基础上,提出一种新的基于haar小波变换的MPSK信号的多速率特征提取算法,深入剖析小波的降噪特性,同步参考点的选取与修正,码速率的估计精度等被忽视的问题,并且提出一种多同步参考点的符号率估计算法。仿真验证了算法在SNR>5时符号率估算的准确性基本达到100%。更多还原

【Abstract】 In the communication system,the symbol rate of accurate extraction is an important part of the parameter estimation. with the traditional estimation method,under the condition of low SNR,the estimated error is bigger,so it is difficult to obtain accurate symbol rate estimation. Throughthe analysis of present symbol rate estimation algorithms,a haar wavelet transform basedsymbol rate estimation algorithm is proposed. The wavelet noise reduction features,the selection and modification of synchronization reference point,and the accuracy of of symbol rate estimation are analyzed in depth.,An symbol rate estimation with mutiple reference points is proposed. The simulation verified the algorithm and showed that the symbol rate estimation accuracy reached 100% when SNR > 5.更多还原