A Coded MIMO Spatial Multiplexing Approach with Low-Complexity Matched-Filter Detector and CRC-Assisted Interference Cancellation

Even though the benefit of multiple-input multiple-output (MIMO) spatial multiplexing systems is significant, its optimal detection becomes challenging as the number of antennas increases. In general, there is a trade-off relationship between the complexity and the achievable error rate performance for MIMO detection, and the maximum-likelihood detector (MLD) is known to be optimal with highest complexity, whereas that based on the matched filter (MF) has the lowest complexity but the remaining interference leads to poor error rate performance. Therefore, in this work, we propose a two-stage MIMO detection system that uses MF with parallel interference cancellation (PIC)at the first stage, followed by the MLD after cancellation of successfully detected streams using cyclic redundancy-check (CRC) codes. Simulation results demonstrate that the proposed two-stage approach may reduce the complexity of MIMO detection with better frame error rate (FER) performance compared to the single-stage MLD.