Title :
A Component-Level Soft Interference Cancellation Based Iterative Detection Algorithm for Coded MIMO Systems
Author :
Jin Xu ; Xiaoming Dai ; Weiguo Ma ; Yingmin Wang
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
An iterative detection and decoding (IDD) scheme based on component-level soft cancellation (CLSC) and linear minimum mean-squared error (LMMSE) filtering for turbo coded multiple input multiple output (MIMO) multiplexing systems is proposed in this work. By exploiting the independence between the In-phase and Quadrature-phase branch, more accurate soft interference cancellation is realized. Extrinsic information transfer (EXIT) characteristics of the IDD system show that the proposed scheme exhibit faster convergence speed than the conventional one. Numerical results validate that the CLSC-LMMSE based detection algorithm achieves noticeable bit error rate (BER) performance over symbol-level soft cancelation (SLSC) based one, with only marginal complexity increase.
Keywords :
MIMO communication; filtering theory; interference suppression; iterative decoding; least mean squares methods; multiplexing; signal detection; turbo codes; BER performance; CLSC-LMMSE based detection algorithm; EXIT; IDD scheme; SLSC; bit error rate performance; coded MIMO systems; component-level soft interference cancellation based iterative detection algorithm; extrinsic information transfer characteristics; iterative detection and decoding scheme; linear minimum mean-squared error filtering; marginal complexity; quadrature-phase branch; symbol-level soft cancellation; turbo coded multiple input multiple output multiplexing systems; Bit error rate; Decoding; Detection algorithms; Detectors; Interference cancellation; MIMO; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location :
Vancouver, BC
DOI :
10.1109/VTCFall.2014.6965806
