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Proceedings Paper

A new detection method for faster-than-Nyquist signaling based on sphere algorithm
Author(s): Xiaohu Liang; Aijun Liu; Ke Wang; Biao Cai
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Paper Abstract

This paper focuses on the low complexity detection for the Faster-than-Nyquist (FTN) signaling, which is an important problem in the practical application. Considering intersymbol interference (ISI) and colored noise caused by FTN, a new whiten matched filter (WMF) is proposed to decorrelate the colored noise with matrix decomposition. Exploring the structure of upper-triangle matrix, the detection problem for FTN is transformed to a similar type problem of tree-searching. A novel receiver for FTN is proposed based on sphere detection algorithm. Furthermore, for reducing the random detection complexity, a new way is proposed to choose an initial sphere radius size. Numerical results suggest that the proposed method for choosing the initial sphere radius size performs well even in the low signal-to-noise ratio (SNR) region. Moreover, the bit error rate (BER) performance of the proposed method reaches the maximum-likelihood (ML) bound closely.

Paper Details

Date Published: 29 August 2016
PDF: 6 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335A (29 August 2016); doi: 10.1117/12.2243819
Show Author Affiliations
Xiaohu Liang, PLA Univ. of Science and Technology (China)
Aijun Liu, PLA Univ. of Science and Technology (China)
Ke Wang, PLA Univ. of Science and Technology (China)
Biao Cai, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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