DocumentCode :
3048858
Title :
Low-complexity two-stage detection for long intersymbol interference channel
Author :
Hui, Li ; Yue-hong, Shen ; Kun, Xu
Author_Institution :
Inst. of Commun. Eng., PLA Univ. Of Sci. & Technol., Nanjing, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
A two-stage data detection algorithm is presented to simplify the receiver structure for long intersymbol interference (ISI) channel. After partial ISI elimination by a minimum mean square error (MMSE) equalizer, the following fast windowed Chase equalization (FWCE) can ensure bit error rate (BER) performance approaching the maximum likelihood sequence detection (MLSD). Compared with the WCE algorithm, the paper obtains advantage of lower complexity from two aspects, including the modified symbol decision rule and the utilization of FWCE algorithm. The FWCE adopts Gray coding to replace conventional binary coding, and thus changes matrix calculation into simple iteration calculation. Complexity analysis and simulation results validate our algorithm can be implemented easily in project for its satisfied BER and obvious complexity reduction.
Keywords :
Gray codes; binary codes; equalisers; error statistics; interference suppression; intersymbol interference; iterative methods; least mean squares methods; maximum likelihood sequence estimation; wireless channels; BER; Gray coding; ISI elimination; WCE algorithm; bit error rate; conventional binary coding; equalizer; fast windowed Chase equalization; intersymbol interference channel; iterative method; maximum likelihood sequence detection; minimum mean square error; two-stage data detection algorithm; Algorithm design and analysis; Bit error rate; Complexity theory; Equalizers; Maximum likelihood decoding; Signal processing algorithms; Signal to noise ratio; Chase; Euclidean distance; Gray coding; intersymbol interference(ISI); maximum mean sequence detection(MLSD); minimum mean square error(MMSE);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
Type :
conf
DOI :
10.1109/WCSP.2010.5633565
Filename :
5633565
Link To Document :
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