An Iterative Adaptive Direction of Arrival Estimation Algorithm in Non- Gaussian Environment
Xie Chen-xi · Fudan xuebao. Ziran Kexue ban · 2015
An iterative adaptive approach for direction of arrival estimation in non-Gaussian environment is proposed.Based on Gaussian mixture model of non-Gaussian noise,in each iteration,it estimates model parameters and modifies the signal covariance matrix from the last iteration.The inverse matrix of the signal covariance matrix is utilized as a weighted matrix for spatial spectral estimation.Simulation results indicate that,in non-Gaussian noise,the algorithm can efficiently improve the performance of iterative adaptive approach for DOA estimation.