Single-Carrier Frequency-Domain Turbo Equalization With Various Soft Interference Cancellation Schemes for MIMO Systems

• Published in: IEEE transactions on communications Vol. 63; no. 9; pp. 3206 - 3217
• Main Author: Tao, Jun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-09-2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blocking; Cancellation; Codes; Complexity; Complexity theory; Decision feedback equalizers; Decoders; Design engineering; Equalization; Estimation; Feedback; Frequency-domain analysis; Interference; Mean square errors; OFDM; Optimization; Silicon carbide; Single-carrier frequency-domain turbo equalization; soft interference cancellation; soft-decision equalizer; soft-decision feedback; soft-decision feedback; soft interference cancellation; Single-carrier frequency-domain turbo equalization; soft-decision equalizer
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2015.2459054

Single-carrier frequency-domain turbo equalization (SC-FDTE) is investigated, with the focus on the design of soft-decision frequency-domain equalizer (SD-FDE) under minimum mean square error (MMSE) criteria. Existing SD-FDEs perform equalization on each frequency bin individually, which however only achieves suboptimal performance, and with the availability of the a priori input, block-wise operation is required to achieve optimal performance. In this paper, optimal MMSE SD-FDE designs with three soft interference cancellation (SIC) schemes are introduced. The first SIC scheme, SIC-I, utilizes the a priori knowledge from the channel decoder, the second SIC scheme, SIC-II, relies on the decoder a priori knowledge as well as the symbol-wise a posteriori soft-decision feedback of the SD-FDE itself, and the third SIC scheme, SIC-III, is comparable to the SIC-II while with a block-wise soft-decision feedback. The optimal SD-FDEs incur high computation complexity due to block-wise processing, then a suboptimal bin-wise SD-FDE with SIC-III is proposed to achieve complexity-performance tradeoff. It is shown that the suboptimal SD-FDE with SIC-III considerably outperforms existing suboptimal SD-FDE with SIC-I, while at a similar magnitude of complexity. It also achieves better performance than the optimal SD-FDE with either SIC-I or SIC-II. Compared to the optimal SD-FDE with SIC-III, the performance loss is marginal.