TST-MUSIC for DOA-delay joint estimation

In this paper, a Multiple SIgnal Classification (MUSIC) -based approach, Time-Space-Time MUSIC (TST-MUSIC), i s proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless multipath channel. The MUSIC algorithms for the DOA and propagation delay estimation are referred to as the S-MUSIC and T-MUSIC algorithms, respectively. By using the space-time characteristics of the multipath channel, the approach combines the temporal filtering and spatial beamforming techniques along with one S-MUSIC and two T-MUSIC a l g e rithms in a tree structure. As such, the incoming rays are grouped, isolated, then estimated in the DOA-delay domain, and the paring of the estimated DOAs and delays are automatically determined. Also, the proposed approach can resolve the incoming rays from very close DOAs or with very close delays. Furthermore, the number of antennas required can be less than that of the incoming rays. The furnished simulations justify the new algorithm.