DocumentCode
2020979
Title
Evolution Analysis of Iterative LMMSE-APP Detection for Coded Linear System with Cyclic Prefixes
Author
Xiaojun Yuan ; Qinghua Guo ; Li Ping
Author_Institution
City Univ. of Hong Kong, Hong Kong
fYear
2007
fDate
24-29 June 2007
Firstpage
71
Lastpage
75
Abstract
This paper is concerned with the iterative detection principles for coded linear systems with cyclic prefixes. We derive a matrix-form low-cost fast Fourier transform (FFT) based iterative LMMSE-APP detector and propose an evolution technique for the performance evaluation of the proposed detector. Numerical results show a good match between simulation and evolution prediction.
Keywords
cyclic codes; fast Fourier transforms; iterative decoding; linear codes; mean square error methods; probability; a posteriori probability; coded linear system; cyclic prefix; evolution analysis; evolution prediction; fast Fourier transform; iterative LMMSE-APP detection; linear minimum mean-sqaure-error; AWGN; Covariance matrix; Detectors; Equations; Intersymbol interference; Linear systems; MIMO; Transfer functions; Transmitters; Vectors; LMMSE-APP detection; SNR-variance evolution; Turbo equalization; iterative detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location
Nice
Print_ISBN
978-1-4244-1397-3
Type
conf
DOI
10.1109/ISIT.2007.4557206
Filename
4557206
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