基于三阶累积量的多径时延估计

Multipath Time Delay Estimation Based on Third-order Cumulants

研究多径传输条件下的时延估计问题。利用三阶累积量的一维切片作为高阶统计量,结合相关算法原理,提出一种新的时延估计算法。为提高时延估计精度,对相关数据进行了加权处理。该算法可有效抑制空间相关高斯噪声或对称分布噪声,得到非高斯信号准确的时延估计。算法具有计算量小,易于实现的优点。仿真结果表明了该算法的有效性。

The problem of time delay estimation under the multipath channel is investigated. By using one dimension slice of third-order cumulant as high-order statistics, a new algorithm of time delay estimation is presented combined with cross-correlation approach. The correlative data is weighted to improve the time delay estimation accuracy. The non-Gaussian signal time delays are estimated precisely with this approach, and spatially correlated Gaussian noises or symmetric distributed noises can be suppressed effectively. The algorithm has the advantage of low computation complexity and can be implemented easily. Simulation results demonstrate the effectiveness of the proposed algorithm.