AIConfPaper
ICASSP 2016accepted0 citations

Signal detection of ambient backscatter system with differential modulation

Jing Qian, Feifei Gao, Gongpu Wang

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Abstract

We study the problem of signal detection for the ambient backscatter system (ABS) when data are transmitted with differential modulation. An implementation of the maximum likelihood (ML) detection algorithm is proposed. To reduce the computational complexity, we further design a suboptimal detector and derive its bit error rate (BER) closed-form expression. Moreover, both the upper and the lower bounds of the BER, which can tell more insight of how system parameters affect the detection performance, are obtained. Simulations are then provided to corroborate the studies.

BibTeX
@inproceedings{icassp2016_signaldetectiono,
  title = {Signal detection of ambient backscatter system with differential modulation},
  author = {Jing Qian and Feifei Gao and Gongpu Wang},
  booktitle = {ICASSP 2016},
  year = {2016}
}