Noncoherent Backscatter Communications Over Ambient OFDM Signals

ElMossallamy, Mohamed A.; Pan, Miao; Jäntti, Riku; Seddik, Karim G.; Li, Geoffrey Ye; Han, Zhu

doi:10.1109/tcomm.2019.2899301

Cited by 72 publications

(77 citation statements)

References 41 publications

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“…where c ik (t) denotes the baseband channel impulse response (CIR) between nodes i and k, for (i, k) ∈ {(1, 2), (2, 4), (1, 4)}, with multipath delay spread τ ik and link propagation delay d ik . Observe that, since the tag usually contains only passive electronic components and performs low-power analog operations, the thermal noise at the tag is neglected [21], [22]. Let us denote with {b[ ]} ∈Z the information symbols that the tag wishes to transmit towards the reader (node 4), modeled as a sequence of i.i.d.…”

Section: System Modelmentioning

confidence: 99%

“…Moreover, let L ik τ ik f s denote the channel memory and c ik [n] c ik (n T s + δ ik ), the received signal (3) is sampled with rate f s = 1/T s at time epochs t n n T s , with n ∈ Z, yielding thus the sequence 4 [21], [22]…”

Section: System Modelmentioning

confidence: 99%

“…In [21], the DLI is canceled out by exploiting the unconsumed part of the cyclic prefix (CP) of the OFDM symbols; the proposed receiver does not require knowledge of the legacy RF signal, but requires estimation of the strength of the backscatter channel and fails if the channel delay spread is equal to the CP length (i.e., the unconsumed part of CP is null). The authors in [22], instead, design the tag modulation waveform so as to shift the backscattered energy in correspondence of the null subcarriers of the ambient OFDM signal and use an energy detector to blindly (i.e., without requiring knowledge of the ambient signal and/or the channels) decode the tag information. This approach, however, requires a more complicated operation carried out by the tag which, moreover, must know in advance the number and positions of the null subcarrier in the legacy OFDM signal.…”

Section: Introductionmentioning

confidence: 99%

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Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

Darsena

2019

IEEE Access

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Backscattering communications have been recently proposed as an effective enabling technology for massive Internet of Things (IoT) development. A novel application of backscattering, called ambient backscattering (AmBC), has been gaining much attention, wherein backscattering communications exploit existing RF signals without the need for a dedicated transmitter. In such a system, data demodulation process is strongly complicated by the random nature of the illuminating signal, as well as by the presence of the direct-link interference (DLI) from the legacy system. To overcome these shortcomings, one can resort to noncoherent detection strategies, aimed at reducing or even nullifying the amount of a priori information needed to reliably perform signal demodulation. In this paper, we investigate noncoherent detection strategies for backscatter communications over ambient OFDM signals and solve the noncoherent maximumlikelihood (ML) detection problem for a general Q-ary signal constellation. Additionally, we derive a suboptimal detector, which takes the form of the classical energy-detector (ED), whose performance is evaluated in closed-form. Finally, the performance of the proposed detectors is corroborated through Monte Carlo simulations.

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Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

Darsena

2019

IEEE Access

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“…Interested readers can also refer to [5] for a detailed overview of the backscatter concept. Ambient backscatter communication using orthogonal frequency division multiplexing (OFDM) is investigated in [14], [15]. On the same lines, [16], [17] explored new coding schemes, such as Manchester coding, to improve detection performance.…”

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)

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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.

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“…To retrieve the information of the AmBC system, typical detectors, for instance, maximum likelihood and energy de-tectors have been investigated in literature for on-off-keying (OOK) based backscatter systems [8]- [10]. Authors in [8] have tackled the problems of detecting PSK-modulated tag signals by a maximum likelihood detector, where the corresponding decision regions have been obtained.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Assisted Detection for BPSK-Modulated Ambient Backscatter Communication Systems

Wang

Duan

Yi̇ği̇tler

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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Ambient backscatter communication (AmBC), a green communication technology, is hampered by the continuously and extremely fast varying, strong and unknown ambient radio frequency (RF) signals. This paper presents a machine learning-assisted method for extracting the information of the AmBC device. The information is modulated on top of the unknown Gaussian-distributed ambient RF signals. The proposed approach can decode the binary phase shift keying backscatter signals encoded using Hadamard codes. This method extracts the learnable features for the tag signal by first eliminating the direct path signal and then correlating the residual signal with the coarse estimate of ambient signal. Thereafter, the tag signals are recovered by using the k-nearest neighbors classification algorithm. The recovered signals are decoded by a Hadamard decoder to retrieve the original information bits. We validate the performance using simulations to corroborate the proposed approach.

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Noncoherent Backscatter Communications Over Ambient OFDM Signals

Cited by 72 publications

References 41 publications

Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

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

Machine Learning-Assisted Detection for BPSK-Modulated Ambient Backscatter Communication Systems

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