A low complexity algorithm for joint DOA and multipath delay estimation in frequency hopping systems

This paper presents a low complexity tree-structured one-dimensional (1D) multiple signal classification (MUSIC)-based algorithm to jointly estimate the directions of arrival (DOA) and multipath propagation delays in frequency hopping (FH) systems. The proposed algorithm makes use of two spatial (S)-MUSIC and one temporal (T)-MUSIC algorithms alternatively to estimate the DOA and delays, respectively. Also, a spatial beamforming process is invoked between the S-MUSIC and T-MUSIC algorithms to partition the incoming signals into appropriate groups to enhance the delay estimation accuracy. Furthermore, the pairing of the estimated DOA and delays is automatically determined. Furnished simulations show that the proposed approach provides satisfactory performance but with substantially reduced computational complexity compared with previous works.