Low-Complexity Data-Detection Algorithm in Cooperative SFBC-OFDM Systems With Multiple Frequency Offsets

• Published in: IEEE transactions on vehicular technology Vol. 59; no. 9; pp. 4614 - 4620
• Main Authors: Qinfei Huang, Ghogho, Mounir, Dongtang Ma, Jibo Wei
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Applied sciences; Block codes; Blocking; Cancellation; Carrier frequencies; Carrier frequency offsets (CFOs); Coding, codes; Computation; Cooperative systems; data detection; Detection, estimation, filtering, equalization, prediction; Detectors; Error detection; Exact sciences and technology; Information, signal and communications theory; Interference; Interference cancellation; Miscellaneous; Multiplexing; OFDM; Offsets; Orthogonal Frequency Division Multiplexing; orthogonal frequency-division multiplexing (OFDM); Signal and communications theory; Signal processing; Signal to noise ratio; Signal, noise; space-frequency block coding (SFBC); Telecommunications and information theory; Performance evaluation; Block code; Noise reduction; Carrier frequency offsets (CFOs); Measurement sensor; Cooperative systems; data detection; Algorithm; Computational complexity; Mean square error; Interference suppression; space-frequency block coding (SFBC); Carrier frequency; Matrix inversion; Orthogonal frequency division multiplexing; Parallel processing; Signal processing; Space-frequency code; System simulation; Frequency offset; Multiple frequency; Comparative study; orthogonal frequency-division multiplexing (OFDM); Signal to noise ratio
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2010.2081695

This paper addresses the problem of data detection in cooperative space-frequency block-coding (SFBC) orthogonal frequency-division multiplexing (OFDM) systems in the presence of multiple carrier frequency offsets (CFOs). A new ordered-successive parallel interference cancellation (OSPIC) detector is proposed. This method consists of first carrying out coarse ordered interference cancellation detection, where the interference components are successively eliminated, and then performing fine interference cancellation detection using parallel interference reduction. Simulation results show that the proposed detector significantly outperforms existing detectors and performs close to that of CFO-free systems for practical signal-to-noise ratios (SNRs). To further reduce the computational complexity, a minimum mean-square error (MMSE)-based reduced-complexity OSPIC (RC-OSPIC) detector is proposed. Compared with the MMSE detector, which requires a full-size complex matrix inversion, the proposed RC-OSPIC detector performs better and is computationally much more effective.