Complexity‐reduced maximum‐likelihood hybrid detection for MIMO systems

For wireless communications, the multiple-input multiple-output (MIMO) system efficiently makes use of spectrum and enhances transmission throughput. In this work, maximum-likelihood (ML) detection for MIMO is studied, two ML algorithms are first considered system, including sphere decoding (SD) algorithm an based on differential metrics (DMs). Each has its advantages disadvantages. The modified such that they same signal model. Then, a new proposed hybrid operation tree search process, in which both branch-and-bound principle indicative functions applied to remove unnecessary searches. can attain with lower average complexity over low high ranges signal-to-noise ratio (SNR), as authors verify by simulations. also generate soft output, anti-phase sequences exploited further reduce complexity.