基于循环平稳性的约束自适应时延估计

Constrained Adaptive Time Delay Estimation Based on Cyclostationarity

在考虑通道非平稳干扰信号和平稳噪声影响的基础上,提出一种基于循环平稳性的约束自适应时延估计算法,对该算法的时延估计性能进行收敛性分析。该算法利用信号的循环平稳性有效地抑制干扰和噪声的影响,适用于空间相关噪声的情形,在低信噪比的情况下可以准确地直接估计非整数倍采样间隔的时延,大幅减少插值法的计算量。仿真结果验证了该算法的有效性。

Taking into account the influence of the non-stationary interference in other channels and stationary noises, a constrained adaptive time delay estimation algorithm based on cyclostationarity is proposed. This algorithm is based on the cyclostationarity of the signals, it can refrain the interference of disturbances and noises effectively, and it is useful when the noises are spatially correlated. It can attain time delay which is not an integer multiple of sampling interval accurately and directly in low signal-to-noise ratio environment, and its computation load is much smaller than that of interpolation method. Simulation results demonstrate the effectiveness of the algorithm.