2003
DOI: 10.1109/tcomm.2003.815057
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Tight exponential upper bounds on the ml decoding error probability of block codes over fully interleaved fading channels

Abstract: We derive in this paper tight exponential upper bounds on the decoding error probability of block codes which are operating over fully interleaved Rician fading channels, coherently detected and maximum-likelihood decoded. It is assumed that the fading samples are statistically independent and that perfect estimates of these samples are provided to the decoder. These upper bounds on the bit and block error probabilities are based on certain variations of the Gallager bounds. These bounds do not require integra… Show more

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Cited by 20 publications
(6 citation statements)
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“…The joint conditional probability that W d is negative and z exceeds an arbitrary threshold η z when the vector a is perfectly known to the receiver is calculated from (27), (32), (33):…”
Section: B Generalization Of Engdahl-zigangirov Upper Bound [12]mentioning
confidence: 99%
“…The joint conditional probability that W d is negative and z exceeds an arbitrary threshold η z when the vector a is perfectly known to the receiver is calculated from (27), (32), (33):…”
Section: B Generalization Of Engdahl-zigangirov Upper Bound [12]mentioning
confidence: 99%
“…1(a), we plot the approximate PEP given by (10) and (11) with an error event of length 3 for log-normal and exponential turbulence channels. We also compute the respective exact PEPs and provide them as a reference (illustrated by solid read line).…”
Section: Resultsmentioning
confidence: 99%
“…The second version of Duman and Salehi (DS2) bound is reported and recognized as one of the most tightest bounding method in fading channel [11], [16]. In what follows, the DS2 bound is generalized to the two atmospheric turbulence channels introduced above.…”
Section: B Derivation Of Ds2 Boundmentioning
confidence: 99%
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“…Tight bounds on the maximum likelihood codeword error probability of binary linear codes for AWGN and binary symmetric channel (BSC), holding at both low and high SNR, were derived by Poltyrev in [11]. Other bounds such as the Divsalar simple bound and the variations on the Gallager bounds are also tight for AWGN and fading channels [12], [13]. These bounds usually require knowledge of the complete weight enumerator E C (h).…”
Section: Preliminariesmentioning
confidence: 99%