Iterative soft-QRD-M for turbo coded MIMO-OFDM systems

• Published in: IEEE transactions on communications Vol. 56; no. 7; pp. 1043 - 1046
• Main Authors: Kyeong Jin Kim, Reid, T., Iltis, R.A.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Approximation; Coding; Coding, codes; Computer simulation; Convolutional codes; Decomposition; Detection algorithms; Detectors; Exact sciences and technology; Information, signal and communications theory; Intersymbol interference; Iterative algorithms; Iterative decoding; Iterative methods; Matrix decomposition; Multiplexing; Optimization; Orthogonal Frequency Division Multiplexing; Receivers; Signal and communications theory; Sum product algorithm; Telecommunications and information theory; Turbo codes; Performance evaluation; MIMO system; factor graph; MIMO-OFDM systems; iterative methods; Optimal algorithm; Iterative method; Turbo code; soft detector; Posterior probability; Simulation; QR factorization; Orthogonal frequency division multiplexing; Error correcting code
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2008.040666

We propose an iterative soft detection algorithm based on the QR decomposition and M-algorithm (soft-QRD- M) for MIMO-OFDM incorporating error correction coding. The soft-QRD-M step generates approximate a posteriori probabilities (APPs) with significant computational savings over the optimal sum-product algorithm. Simulation results show comparable performance of the soft-QRD-M detector and SPA in a Turbo- coded iterative MIMO-OFDM receiver.