Abstract | ||
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Amplitude detection (AD) is a low-complexity scheme for information retrieval, as it only considers the envelop of the received signal. This makes it ideal for low-cost low-powered devices for applications such as the Internet of Things. In this paper, we deal with a basic point-to-point (P2P) system and develop a unified analytical framework for the error performance evaluation of the maximum-likelihood decoder with on-off keying. We consider generalized fading channels and derive closed form asymptotic bounds on the average bit error rate performance. Moreover, we provide the exact diversity order along with a lower and upper bound on the coding gain in terms of the channel parameters. Our results provide important insights into the effects of the fading parameters on the performance of P2P-AD systems. |
Year | DOI | Venue |
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2021 | 10.23919/EUSIPCO54536.2021.9616286 | 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021) |
Keywords | DocType | ISSN |
Nonlinear detection, amplitude detection, maximum-likelihood, diversity, coding gain | Conference | 2076-1465 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Amit Agarwal | 1 | 0 | 0.34 |
Constantinos Psomas | 2 | 78 | 19.13 |
Ioannis Krikidis | 3 | 3348 | 180.98 |