Reduced-Complexity Iterative-Detection-Aided Generalized Space-Time Shift Keying

• Published in: IEEE transactions on vehicular technology Vol. 61; no. 8; pp. 3656 - 3664
• Main Authors: Sugiura, S., Chao Xu, Soon Xin Ng, Hanzo, L.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2012; Institute of Electrical and Electronics Engineers
• Subjects: Antennas; Applied sciences; Circuit properties; Complexity theory; Decoding; Detection, estimation, filtering, equalization, prediction; Detectors; Dispersion; Electric, optical and optoelectronic circuits; Electronic circuits; Electronics; Exact sciences and technology; EXtrinsic Information Transfer (EXIT) chart; Frequency filters; Information, signal and communications theory; Iterative decoding; Markov chain Monte Carlo (MCMC); MIMO; multiple-antenna array; Radiocommunications; Receivers; Signal and communications theory; Signal, noise; soft decision; space-time shift keying (STSK); Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); turbo coding; Performance evaluation; MIMO system; Measurement sensor; Iterative method; Space time; Turbo code; space-time shift keying (STSK); multiple-antenna array; Information transmission; Markov chain Monte Carlo (MCMC); Degradation; Matched filter; MCMC algorithm; EXtrinsic Information Transfer (EXIT) chart; Algorithm complexity; A posteriori estimation; Decision aid; Delay time; Soft decision; turbo coding; Antenna array; Damaging
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2012.2206065

A novel reduced-complexity soft decision (SoD)-aided detector is proposed for the recent concept of space-time shift keying (STSK), where the detector's achievable performance is capable of closely approaching that of the optimal maximum a posteriori (MAP) detector. More specifically, we exploit a hybrid combination of the modified matched filtering concept and of reduced-complexity exhaustive search for the sake of reducing the MAP detector's decoding complexity. Furthermore, we extended this detector to support the class of generalized STSK (GSTSK) scheme that subsumes diverse multiple-input-multiple-output (MIMO) arrangements. The proposed reduced-complexity SoD-aided GSTSK detector also attains significantly lower complexity than the MAP detector while imposing only marginal performance degradation, which is in the range of 1-2 dB. As an optional means of further reducing complexity, the Markov Chain Monte Carlo (MCMC) algorithm is invoked for the proposed GSTSK detector. Our EXtrinsic Information Transfer (EXIT) chart analysis reveals that the proposed STSK detector is capable of closely approaching the optimal performance, whereas the GSTSK detector advocated exhibits a modest performance gap with respect to the max-log MAP detector.