Study on Subspace-Based Direction Finding Algorithm in the Presence of Impulsive Noise Environments

This paper first analyses the properties of impulsive noise and its affecting on the traditional subspace techniques employing second order or higher order statistics. Then we present a new subspace based direction finding algorithm in the presence of impulsive noise. According to the basic idea behind TLS ESPRIT , the method estimates the bearing information of the incoming signals by perfor ming singular value decomposition (SVD) on the covariation coefficient matrices of array outputs. Finally, the simulation results show the feasibility and effec tiveness of the algorithm.