A Pseudo-Inverse-Based Hard Thresholding and PSO-Aided Channel Estimation for mmWave MIMO Systems

Accurate channel estimation is essential for enabling reliable communication in millimeter-wave (mmWave) multiple input multiple output (MIMO) systems. This paper presents a novel approach that combines pseudo-inverse-based hard thresholding (PIHT) with particle swarm optimization (PSO) to enhance the accuracy of channel estimation. The proposed method capitalizes on the faster ability of PIHT to recover sparse channel coefficients with low computational complexity as the initial stage for coarse channel estimation, followed by refinement of the channel estimates using the PSO technique. Through both computational complexity analysis and extensive simulations, the effectiveness of the combined approach is evaluated, demonstrating its potential to improve the accuracy of mmWave massive MIMO channel estimation. It is observed that at lower SNR the presented method is able to achieve reliable channel estimation.