Range and DOA estimation of near-field sources via the fourth-order statistics

Two novel algorithms which exploit the fourth-order statistics are proposed for DOA and range estimation of the near-field narrow-band sources. Compared with most proposed methods which can identify only p sources with a (2p + 1)-element ULA (uniformly linear array), the proposed methods can identify 2p or 2p - 1 sources with the same one. Moreover, our methods calculate much fewer fourth-order statistics than conventional ones. Simulation results show that our two ESPRIT-based methods also provide improved performance over conventional ones because of more efficient use of received signals.