Symbol Detection of Ambient Backscatter Systems With Manchester Coding

Tao, Qin; Zhong, Caijun; Lin, Hai; Zhang, Zhaoyang

doi:10.1109/twc.2018.2819188

Cited by 69 publications

(21 citation statements)

References 28 publications

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“…Similarly, a flicker detector uses per symbol in-band BackCom while using a residual channel of WiFi packets [87]. Tao et al suggested a semi-coherent manchester detector and a non-coherent manchester detector [88]. These detectors could decode the manchester-coded and differential manchester-coded information, respectively.…”

Section: Decision Regions For Joint Energy Detectormentioning

confidence: 99%

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Memon

Saxena

Roy³

et al. 2019

Electronics

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The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.

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Section: Decision Regions For Joint Energy Detectormentioning

confidence: 99%

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Memon

Saxena

Roy³

et al. 2019

Electronics

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“…where I m (a) is the modified Bessel function of the first kind [43]. For small σ 2 w values, we may use the approximation I m (a) ≈ e a and rewrite (26)…”

Section: Suboptimal Energy Detector For On-off-keying Backscattermentioning

confidence: 99%

“…A noncoherent detection strategy for bistatic scatter radio is devised in [8]. Increasing the complexity of the tag, use of differential coding has been considered for AmBC systems in [26], [27], and semi-coherent and noncoherent detection approaches are examined. At high SNR and for large data samples available at the reader, a noncoherent detector is proposed in [28].…”

Section: Introductionmentioning

confidence: 99%

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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“…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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Symbol Detection of Ambient Backscatter Systems With Manchester Coding

Cited by 69 publications

References 28 publications

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

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

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