基于循环相关的符号速率盲估计

Cyclocorrelation Based Symbol Rate Estimation

本文阐述了未知符号序列经线性调制后,在接收端利用循环相关理论对符号速率进行盲估计的问题。对接收信号进行过采样,利用信号的循环平稳统计特性,在循环域对信号的循环相关估计的模平方之和进行最大化处理,从而导出本文描述的符号速率估计器。文中给出了基于循环相关的盲估计算法,并对核算法的统计一致性和渐进性能进行了分析,最后给出了该算法的仿真数据。

This paper considers the problem of blind symbol rate estimation of signals linearly modulated by a sequence of unknown symbols. Oversampling the received signal generates cyclostationary statistics that are exploited to devise symbol rate estimators by maximizing in the cyclic domain a sun of modulus squares of cyclic correlation estimates. The consistency and asymptotic normality of this symbol rate estimator is established. Finally, we illustrate the performance of this symbol rate estimator by means of Matlab simulation.