Direction-of-Arrival Estimation of Strictly Noncircular Signal by Maximum Likelihood Based on Moving Array

Bin Yang, Cheng Wang, Bin Yang, Ding Wang · IEEE Communications Letters · 2019

This letter proposes a novel direction-of-arrival (DOA) estimation algorithm for strictly noncircular signals in a moving array scenario. Unlike most conventional methods, which only use spatial information, the proposed method uses the Doppler shift and the noncircular property simultaneously. The Doppler and noncircular information is used to establish a cost function using the maximum likelihood (ML) criterion, and the estimation results are obtained via an alternative iteration method that converges rapidly with moderate computational complexity. The Cramér-Rao bound (CRB) is also derived to evaluate the performance of the proposed method. Numerical simulations show that the proposed method outperforms the existing algorithms.

Read the paper · More papers on PaperTik