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Post-Processing of K-best MIMO Detection for High-Order Modulations
會議論文集

Post-Processing of K-best MIMO Detection for High-Order Modulations

Yu-Xin Liu, Ya-Xin Dai 和 Yeong-Luh Ueng
2021 IEEE Asia Pacific Conference on Circuit and Systems (APCCAS), 頁碼.1-1
22/11/2021
Web of Science ID: WOS:000791022500024

摘要

Asia Circuits and systems Conferences Euclidean distance high order modulation K-best detection algorithm MIMO communication Modulation post-processing aided MIMO detection Simulation sphere decoding tree searching
This paper presents an iterative post-processing scheme for conventional K-best MIMO detection based on repeating the K-best search from a single root node. Utilizing the partial Euclidean distance and the detected path in the conventional detection process, the root node can be determined for each post-processing iteration. Once the correct root node is determined in post-processing, we can use a smaller value of K in the post-processing process to obtain the correct path. Moreover, the proposed scheme is only enabled when the partial Euclidean distance of the detected path is extremely large and considered to be incorrect to reduce the latency and the computational complexity. Based on simulation results, the proposed method provides a notable improvement in performance while maintaining a similar complexity for MIMO systems using high order modulations.

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