DocumentCode :
1738400
Title :
Iterative channel estimation and decoding with product codes in multicarrier systems
Author :
Sanzi, Frieder ; Ten Brink, Stephan
Author_Institution :
Inst. of Telecommun., Stuttgart Univ., Germany
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1338
Abstract :
A two-dimensional channel estimation scheme for coherent detection of multicarrier modulated signals is presented which is based on the a posteriori probability (APP) calculation algorithm. An iterative estimation and decoding loop over inner estimator/product code and outer soft in/soft out APP decoder allows to further reduce the bit error rate. Heavily punctured recursive systematic convolutional codes are introduced as high-rate component codes of the inner product code. The proposed system outperforms the reference system which applies conventional two-dimensional Wiener filters for channel estimation
Keywords :
BCH codes; convergence of numerical methods; convolutional codes; error statistics; iterative decoding; parameter estimation; probability; signal detection; 2D Wiener filters; 2D channel estimation; BCH codes; BER reduction; a posteriori probability calculation algorithm; bit error rate reduction; coherent detection; convergence properties; high-rate component codes; inner estimator/product code; inner product code; iterative channel estimation; iterative decoding; multicarrier modulated signals; multicarrier systems; outer soft in/soft out APP decoder; product codes; punctured recursive systematic convolutional codes; reference system; two-dimensional Wiener filters; Bit error rate; Channel estimation; Convolution; Convolutional codes; Finite impulse response filter; Frequency estimation; Iterative decoding; Product codes; Transfer functions; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location :
Boston, MA
ISSN :
1090-3038
Print_ISBN :
0-7803-6507-0
Type :
conf
DOI :
10.1109/VETECF.2000.886316
Filename :
886316
Link To Document :
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