DocumentCode :
782256
Title :
Channel Estimation and Equalization Techniques in Downsampled ARQ Systems
Author :
Roberson, Jeremy ; Dong, Xiaofei ; Ding, Zhi
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA
Volume :
55
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
2251
Lastpage :
2262
Abstract :
In this paper, we study channel estimation and equalization for a class of bandwidth efficient automatic repeat request (ARQ) systems. In these systems, retransmissions achieve bandwidth efficiency through symbolwise downsampling. Unlike a standard ARQ scheme, in which an erroneous packet is fully repeated, more sophisticated hybrid ARQ systems retransmit a recoded data packet. However, many of these ARQ schemes do not consider the integration of ARQ protocols with receiver signal processing such as channel estimation and signal detection. In this paper, we present a joint multichannel estimation algorithm that exploits the structure of a symbolwise downsampled ARQ equipped network. We show that this new method can improve the identifiability conditions for channel estimation as well as the overall system performance
Keywords :
automatic repeat request; bandwidth allocation; channel estimation; equalisers; protocols; signal detection; signal sampling; ARQ protocols; automatic repeat request; bandwidth efficiency; downsampled ARQ systems; equalization techniques; multichannel estimation algorithm; receiver signal processing; recoded data packet; signal detection; symbolwise downsampling; Automatic repeat request; Bandwidth; Blind equalizers; Channel estimation; Cross layer design; Forward error correction; Protocols; Signal detection; Signal processing algorithms; System performance; Automatic repeat request (ARQ); blind channel estimation; cross-layer design; spectral efficiency; subspace methods;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.893203
Filename :
4156424
Link To Document :
بازگشت