A low complexity millimeter wave multi-path channel estimation algorithm exploiting directional energy elimination

Millimeter wave (mmWave) communication is a promising scheme for 5G networks because it can provide wide bandwidth. To compensate for the high attenuation and signal absorption of mmWave channel, the massive MIMO systems have been employed. However, in such systems, channel estimation is a challenge due to the high channel complexity and limited coherence time. This paper develops a low complexity mmWave multipath channel estimation algorithm exploiting directional energy elimination. The algorithm alleviates the cumulative angle estimation error in the path by path estimation scheme. We also design a codebook which is suitable to the proposed algorithm. Simulation results show that with the same training overhead of the previous adaptive compressed sensing based algorithm, the proposed algorithm achieves better angle estimation and spectrum efficiency performance.