Optimal Non-Coherent Detector for Ambient Backscatter Communication System

The joint probability density function (pdf) of the received signal of an ambient backscatter communication system is derived, assuming that on-off keying (OOK) is performed at the tag to form non-return to zero (NRZ) line codes, and that the ambient radio frequency (RF) signal is white Gaussian. The pdf of the received signal is then utilized to design two different types of non-coherent detectors. The first detector directly uses the received signal to perform a hypothesis test. The second detector first estimates the channel based on the observed signal and then performs the hypothesis test. Test statistics and the optimal decision threshold of the detectors are derived. The energy detector is shown to be an approximation of the second detector. For cases where the reader is able to avoid or cancel the direct interference from the RF source (e.g., through successive interference cancellation), a third detector is given as a special case of the first detector. Numerical results show that the first detector outperforms the second detector, although the second detector is computationally simpler.

[1]  Dong In Kim,et al.  Ambient Backscatter Communications: A Contemporary Survey , 2017, IEEE Communications Surveys & Tutorials.

[2]  G.D. Durgin,et al.  Complete Link Budgets for Backscatter-Radio and RFID Systems , 2009, IEEE Antennas and Propagation Magazine.

[3]  Zhu Han,et al.  Ambient Backscatter Assisted Wireless Powered Communications , 2018, IEEE Wireless Communications.

[4]  Sudarshan Guruacharya,et al.  On the Product of Complex Gaussians With Applications to Radar , 2019, IEEE Signal Processing Letters.

[5]  Chintha Tellambura,et al.  Ambient Backscatter Communication Systems: Detection and Performance Analysis , 2016, IEEE Transactions on Communications.

[6]  Hongbo Zhu,et al.  Noncoherent Detections for Ambient Backscatter System , 2017, IEEE Transactions on Wireless Communications.

[7]  Xiao Lu,et al.  A Bandit Approach for Mode Selection in Ambient Backscatter-Assisted Wireless-Powered Relaying , 2020, IEEE Transactions on Vehicular Technology.

[8]  Hongbo Zhu,et al.  Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System , 2016, IEEE Transactions on Communications.

[9]  Dennis Goeckel,et al.  Convergence of the Complex Envelope of Bandlimited OFDM Signals , 2010, IEEE Transactions on Information Theory.

[10]  Caijun Zhong,et al.  Symbol Detection of Ambient Backscatter Systems With Manchester Coding , 2018, IEEE Transactions on Wireless Communications.

[11]  Yiyang Pei,et al.  Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier , 2017, IEEE Transactions on Communications.

[12]  Donatella Darsena,et al.  Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals , 2019, IEEE Access.

[13]  Miao Pan,et al.  Noncoherent Backscatter Communications Over Ambient OFDM Signals , 2019, IEEE Transactions on Communications.

[14]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.

[15]  Ekram Hossain,et al.  Ambient Backscatter-Assisted Wireless-Powered Relaying , 2019, IEEE Transactions on Green Communications and Networking.

[16]  Zhangdui Zhong,et al.  Coding and Detection Schemes for Ambient Backscatter Communication Systems , 2017, IEEE Access.

[17]  Salman Durrani,et al.  Next generation backscatter communication: systems, techniques, and applications , 2017, EURASIP Journal on Wireless Communications and Networking.

[18]  Ying-Chang Liang,et al.  Backscatter Communications over Ambient OFDM Signals: Transceiver Design and Performance Analysis , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[19]  Ronald F. Boisvert,et al.  NIST Handbook of Mathematical Functions , 2010 .

[20]  Frank E. Harris,et al.  Incomplete Bessel, generalized incomplete gamma, or leaky aquifer functions , 2008 .