Channel estimation for MIMO-OFDM systems of joint angle-of-departure (AOD) or angle-of-arrival (AOA)

Abstract

Beamforming with gathering mechanical assembly displays has been considered as an engaging advancement in future remote correspondence structures. To coordinate beamforming, one has to know the angle-of-departure (AoD) or angle-of-arrival (AoA). For data disclosure, the beneficiary in like manner has to know station response. In this paper, we propose another joint AoD, AoA, and channel estimation contrive for pilot-helped MIMO-OFDM systems. Starting, a compressive distinguishing system is used to survey the channel drive response, abusing the sparsity property of remote channels. By then, AoA and AoD are as one surveyed for each perceived path by the most maximum likelihood (ML) procedure. The successive Cramer-Rao lower bound (SCRLB) is moreover gathered and a transmit beamforming plan is proposed as necessities be. In the circumstance of available prior information, a most outrageous a posteriori estimation is proposed. Amusement results exhibit that the proposed procedures can approach the SCRLB achieve a comparable supernatural viability as that got with the ideal direct in millimetre-wave correspondences. the SCRLB is low multifaceted nature computation and to constrain misstep rate and improve sign to fuss extent.