Design of high-throughput MIMO detectors using sort-free and early-pruned techniques

This paper presents a high-throughput multiple-input multiple-output (MIMO) signal detector based on the sort-free concept and the proposed mean-aided early-pruned scheme. The derived MIMO detector can reduce the number of node computation while maintaining the bit error rate (BER) performance of the conventional sort-free MIMO detection algorithm. Experimental results show that the proposed detector design with 4×4 antenna array and 16-QAM modulation has better normalized throughput rate compared to those of existing detectors under the same system configurations. Moreover, a significant reduction on node extensions can be achieved using the presented detection scheme compared with the conventional sort-free algorithm and the K-best algorithm.