Open AccessInterference cancellation and signal detection technique based on QRD‐M algorithm for FTN signalling
Author(s) -
Baek M.S.,
Yun J.,
Hur N.,
Lim H.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2016.3377
Subject(s) - single antenna interference cancellation , qr decomposition , algorithm , interference (communication) , signal (programming language) , computer science , computational complexity theory , toeplitz matrix , bcjr algorithm , detection theory , mathematics , telecommunications , decoding methods , block code , detector , channel (broadcasting) , eigenvalues and eigenvectors , physics , quantum mechanics , concatenated error correction code , pure mathematics , programming language
This Letter presents interference cancellation and signal detection technique for faster‐than‐Nyquist (FTN) signalling. The proposed scheme uses QR decomposition (QRD)‐M algorithm to execute interference cancellation and signal detection. Based on the Toeplitz structure of the inter‐symbol interference coefficient matrix, the QRD‐M algorithm is adopted to detect the transmitted symbols from an FTN signal. The computational complexity comparisons and numerical results demonstrate that the proposed technique can achieve the complexity <10% of Bahl–Cocke–Jelinek–Raviv (BCJR) algorithm while maintaining BER performance similar to that of BCJR algorithm.