Effective Method for Mixed-Field Localization in the Presence of Impulsive Noise
Jiacheng Zhang, Tianshuang Qiu, Shengyang Luan · IEEE Communications Letters · 2019
An effective method for mixed-field localization in the presence of impulsive noise is proposed in this letter. For direction of arrival (DOA) estimation of all sources, we construct a covariance domain based vector and utilize a correntropy based sparse reconstruction to solve this problem under impulsive noise. Then, for range estimation and sources distinguishment, we first utilize a bounded non-linear covariance to extract noise subspace and then apply a Root-MUSIC like method to solve the problem with lower computational complexity. Comprehensive simulations and theoretical analysis are provided to verify the efficiency of the proposed algorithm.