Symbol-by-symbol detection for turbo-coded FTN aided with precoding

Xiaoduo Xing; Aijun Liu; Xiaohu Liang; Xian Liu

doi:10.1117/12.2244000

29 August 2016 Symbol-by-symbol detection for turbo-coded FTN aided with precoding

Xiaoduo Xing, Aijun Liu, Xiaohu Liang, Xian Liu

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003363 (2016) https://doi.org/10.1117/12.2244000
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Faster-than-Nyquist (FTN) signaling has been considered a promising technique for higher frequency bandwidth efficiency. However, symbol detection at the receiver suffers rather high computation complexity due to the intentionally introduced infinite inter-symbol interference (ISI) caused by the way of FTN signaling. For solving this problem, a new method is proposed based on precoding at the transmitter. In this schema, precoding technique is used to eliminate the ISI and lower complexity of the detection of the receiver and Turbo-code is used to reduce the system’s bit error rate (BER). Moreover, the precoding method can be extended to the MQAM. Numerical examination of the proposed method shows performance improvement of the proposed approach over FTN signaling.

Citation Download Citation

Xiaoduo Xing, Aijun Liu, Xiaohu Liang, and Xian Liu "Symbol-by-symbol detection for turbo-coded FTN aided with precoding", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003363 (29 August 2016); https://doi.org/10.1117/12.2244000

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