基于互质采样的宽带信号快速盲检测算法

Speedy and Blind Detection Algorithm for Wideband Signals Using Coprime Sampling

针对宽带信号的快速盲检测,提出一种基于互质采样的新算法。算法首先分析循环频率等于零时循环自相关矩阵的特性,并利用两路互质的欠采样序列对其进行估计;然后构造CAV(covariance absolute value)检测统计量,在互质采样的基础上重新推导检测门限,最终实现对非平稳信号的检测。此外,探究其它检测方法的可行性和广义互质采样的实用性。仿真结果表明,该算法采样速率低,计算复杂度小,无需任何先验信息,能够解决快速盲检测问题。

For speedy and blind detection of wideband signals,a novel algorithm based on coprime sampling is proposed.Firstly,under the condition that cyclic frequency equals zero,the property of the cyclic autocorrelation matrix is analyzed and two coprime sub-Nyquist sampling sequences are utilized for its estimation.Secondly,with the test statistics in covariance absolute value (CAV) algorithm,the threshold is deduced on the basis of coprime sampling,and the detection on non-stationary signals is finally implemented.Furthermore,the feasibility of other detection methods and practicability of generalized coprime sampling are explored.Simulation results demonstrate that the proposed algorithm is a better solution with the advantage of lower sampling rate,less complexity and no priori information.