DocumentCode :
1485343
Title :
A parallel systems approach to universal receivers
Author :
Madhow, Upamanyu ; Pursley, Michael B.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Volume :
37
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
291
Lastpage :
306
Abstract :
The problem of communication over a channel with unknown characteristics is addressed. The true channel is from a known set of channels, but the transmitter and receiver do not know which of these channels is actually in effect. The goal of a universal receiver is to provide nearly optimal demodulation regardless of the channel that is actually in effect. A parallel receiver implementation is proposed for a universal scheme to cope with such uncertainty. The parallel system consists of a finite number of receivers with the property that, for each channel in the set, the performance of at least one of the receivers will be within a specified performance range. Data verification is accomplished by an appropriate coding system. Sufficient conditions for the existence of such a universal receiver for a prescribed set of channels are established, procedures are outlined for the receiver design, and an example is given to illustrate the applicability of the theory. For M-ary signaling it is shown that, from an information-theoretic viewpoint, the data verification can be achieved at no extra cost by use of the intrinsic side information that is provided by an appropriate coding scheme that also provides error correction
Keywords :
decoding; demodulation; encoding; information theory; receivers; telecommunication channels; M-ary signaling; coding system; communication channel; data verification; error correction; information-theoretic viewpoint; intrinsic side information; optimal demodulation; parallel receiver implementation; parallel systems approach; universal receivers; Communication systems; Costs; Decoding; Demodulation; Error correction codes; Helium; Reed-Solomon codes; Sufficient conditions; Transmitters; Uncertainty;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.75245
Filename :
75245
Link To Document :
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