Performance Evaluation of High-Resolution Parameter Estimation in Low-Rank MIMO Channels with Interference

This paper evaluates the performance of MUSIC and Root-MUSIC algorithms for angular parameter estimation in low-rank MIMO channels under co-channel interference. A MIMO channel model with angular parameters is formalized, considering interference from neighboring base stations. Performance is analyzed using the normalized mean square error (NMSE) for channel estimation and root mean square error (RMSE) for angle estimation. Simulation results show that both algorithms achieve accurate estimation under interference, with Root-MUSIC offering similar performance at lower computational cost. A two-stage estimation approach further improves accuracy by exploiting the channel's low-rank structure.