中文摘要：

为解决基于循环谱符号率盲估计运算量大、滑窗长度不适用于变速率问题,提出一种基于功率谱累加粗估计和改进循环谱精估计PSK符号率盲估计方法.运用功率谱累加及拐点逼近搜索算法完成符号率粗估计,分析了功率谱累加长度对符号率粗估计精度的影响;利用互相关理论对循环谱估计算法进行改进,在降低计算量的同时提高了抗噪性;依据粗估计值推导循环频率计算区间及最佳平滑窗长度,降低了计算量.仿真结果表明,该算法抗噪性好,计算量小、适用于变速率估计,实用性强.

英文摘要：

To solve the problem of heavy computation complexity and fixed sliding window length which is not applicable to variable rate situation in symbol rate blind estimation, the paper proposed a novel PSK symbol rate blind estimation method based on rough estimation using power spectrum accumulation and precision estimation by improved cyclic spectrum. Using power spectrum accumulation and inflection point approximate search algorithm solved the symbol rate rough estimation and analyzing the influence of accumulative length in accuracy firstly. Then, improved anti-noise performance and reduced the calculation times in cyclic spec- trum estimation algorithm using cross-colTelation theory. Lastly, derived the loop frequency calculation interval and optimal smooth- ing window length from rough estimation and realized accurate symbol rate estimation using cyclic spectrum. Simulation results show that the novel algorithm is stronger anti-noise, lower computation, and more practical in cognitive radio receiver.