Application of MAP decoding for chaos MIMO scheme to improve error rate performance

Abstract

Chaos multiple-input multiple-output (C-MIMO) transmission scheme is a Gaussian modulation-based block transmission scheme that achieves both channel coding effect and physical layer security. Further, channel coding gain is obtained by concatenating a channel code to a C-MIMO that has a sequential log likelihood ratio (LLR). However, the sequential LLR is quasi-optimal and has slight performance degradation. Therefore, we propose a symbol-unit maximum a posteriori (MAP) decoding to calculate an optimal LLR for C-MIMO. The improved performance of the proposed scheme is demonstrated through numerical simulations.