Statistical Covariance Based Signal Detection for Ambient Backscatter Communication Systems

Zeng, Tengchan; Wang, Gongpu; Wang, Yanwen; Zhang, Zhong; Tellambura, Chintha

doi:10.1109/vtcfall.2016.7881237

Cited by 23 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The detection of ambient backscatter signal with multiple receive antennas was performed in [24]. The statistical-covariance based signal detection to improve the BER of the system was investigated in [26]. The BER analysis of detection over ambient orthogonal frequency division multiplexing (OFDM) signals using interference cancellation techniques was investigated in [27].…”

Section: A Related Workmentioning

confidence: 99%

Ambient Backscatter Systems: Exact Average Bit Error Rate Under Fading Channels

Devineni

Dhillon

2019

IEEE Trans. on Green Commun. Netw.

View full text Add to dashboard Cite

The success of Internet-of-Things (IoT) paradigm relies on, among other things, developing energyefficient communication techniques that can enable information exchange among billions of batteryoperated IoT devices. With its technological capability of simultaneous information and energy transfer, ambient backscatter is quickly emerging as an appealing solution for this communication paradigm, especially for the links with low data rate requirement. In this paper, we study signal detection and characterize exact bit error rate for the ambient backscatter system. In particular, we formulate a binary hypothesis testing problem at the receiver and analyze system performance under three detection techniques: a) mean threshold (MT), b) maximum likelihood threshold (MLT), and c) approximate MLT.Motivated by the energy-constrained nature of IoT devices, we perform the above analyses for two receiver types: i) the ones that can accurately track channel state information (CSI), and ii) the ones that cannot. Two main features of the analysis that distinguish this work from the prior art are the characterization of the exact conditional density functions of the average received signal energy, and the characterization of exact average bit error rate (BER) for this setup. The key challenge lies in the handling of correlation between channel gains of two hypotheses for the derivation of joint probability distribution of magnitude squared channel gains that is needed for the BER analysis.

show abstract

Section: A Related Workmentioning

confidence: 99%

Ambient Backscatter Systems: Exact Average Bit Error Rate Under Fading Channels

Devineni

Dhillon

2019

IEEE Trans. on Green Commun. Netw.

View full text Add to dashboard Cite

show abstract

“…The authors of [17] looked into the non-coherent symbol detection under the condition that the channel state information is unknown, and provided a method to estimate the system parameters without sending pilots. Meanwhile, a detection algorithm based on statistical covariances is suggested in [18], which requires extremely large number of samples.…”

Section: Introductionmentioning

confidence: 99%

Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

Qian

Gao

Wang

et al. 2017

IEEE Trans. Commun.

Self Cite

115

View full text Add to dashboard Cite

We study a novel communication mechanism, ambient backscatter, that utilizes radio frequency (RF) signals transmitted from an ambient source as both energy supply and information carrier to enable communications between low-power devices. Different from existing non-coherent schemes, we here design the semi-coherent detection, where channel parameters can be obtained from unknown data symbols and a few pilot symbols. We first derive the optimal detector for the complex Gaussian ambient RF signal from likelihood ratio test and compute the corresponding closed-form bit error rate (BER).To release the requirement for prior knowledge of the ambient RF signal, we next design a suboptimal energy detector with ambient RF signals being either the complex Gaussian or the phase shift keying (PSK). The corresponding detection thresholds, the analytical BER, and the outage probability are also obtained in closed-form. Interestingly, the complex Gaussian source would cause an error floor while the PSK source does not, which brings nontrivial indication of constellation design as opposed to the popular Gaussian-embedded literatures. Simulations are provided to corroborate the theoretical studies.

show abstract

“…The signal detection under noncoherent and semi-coherent setups is analyzed in [8]- [11]. The signal detection at a multi-antenna receiver is studied in [12] and the statistical-covariance based detection is explored in [13]. While [6]- [12] were based on the Gaussian distribution approximation for the conditional distributions of the average energy of the received signal, the exact BER analysis for the slow fading case was performed in [5].…”

Section: A Related Workmentioning

confidence: 99%

Non-Coherent Signal Detection and Bit Error Rate for an Ambient Backscatter Link under Fast Fading

Devineni

Dhillon

2019

2019 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

This paper is focused on the non-coherent detection in ambient backscatter communication, which is highly appealing for systems where the trade-off between signaling overhead and the actual data transmission is very critical. Modeling the time-selective fading channel as a first-order autoregressive (AR) process, we consider two data encoding schemes at the transmitter and propose a new receiver architecture based on the direct averaging of the received signal samples for detection, which departs significantly from the energy averaging-based receivers considered in the literature. For the proposed setup, we characterize the exact asymptotic bit error rate (BER) for both single and multi antenna receivers. Our results demonstrate that while the direct interference received from the ambient power source leads to a BER floor in the single antenna receiver, the multi-antenna receiver can efficiently remove this interference by estimating the angle of arrival (AoA) of the direct link from the power source. A key intermediate result of our analysis is a new concentration result for a general sum sequence (including the asymptotic growth rates of its expectation and variance) that is central to the derivation of the conditional distributions of the signal at the receiver. Index TermsAmbient backscatter, non-coherent detection, auto-regressive model, time-selective fading, bit error rate.

show abstract

Statistical Covariance Based Signal Detection for Ambient Backscatter Communication Systems

Cited by 23 publications

References 7 publications

Ambient Backscatter Systems: Exact Average Bit Error Rate Under Fading Channels

Ambient Backscatter Systems: Exact Average Bit Error Rate Under Fading Channels

Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

Non-Coherent Signal Detection and Bit Error Rate for an Ambient Backscatter Link under Fast Fading

Contact Info

Product

Resources

About