Complexity Reduced MLD Based on QR Decomposition in OFDM MIMO Multiplexing with Frequency Domain Spreading and Code Multiplexing

Abstract

This paper presents a new maximum likelihood detection (MLD)-based signal detection method for orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO) multiplexing with frequency domain spreading and code multiplexing. The proposed MLD reduces the computational complexity by utilizing signal orthogonalization based on QR decomposition of the product of the channel and spreading code matrices. Simulation results show that when the spreading factor and number of code multiplexing are 16, the proposed MLD reduces the average received signal energy per bit-to-noise spectrum density ratio (Eb/N0) for the average packet error rate (PER) of 10"2 by approximately 12 dB compared to the conventional minimum mean squared error (MMSE)-based filtering for 4-by-4 MIMO multiplexing (16QAM with rate-3/4 Turbo code is assumed).