Signal detection for ambient backscatter system with multiple receiving antennas

Mat, Zhen; Zeng, Tengchan; Wang, Gongpu; Gao, Feifei

doi:10.1109/cwit.2015.7255150

Cited by 33 publications

(20 citation statements)

References 9 publications

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“…Some exploration about signal detection for the ambient backscatter communication was presented in [13]- [15], where the tag tends to employ the on-off signaling with a low data rate, and the reader can decode tag's information by simple detection strategies. Another transmission model was proposed in [16], where the reader is equipped with multiple antennas. 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.…”

Section: Introductionmentioning

confidence: 99%

Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

Qian

Gao

Wang

et al. 2017

IEEE Trans. Commun.

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115

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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.

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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

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“…Subsequently, a transmission model was formulated while considering multiple antennas in the reader [91]. They also proposed a different method of signal detection in the absence of CSI.…”

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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“…Let b l (t) denote the baseband representation of the tag's modulation waveform with corresponding bandpass signal b (t). As widely assumed in the literature on ambient backscatter communications [8], [9], [11], we assume that no noise is added at the tag. This assumption arises from the fact that the tag has no active RF components.…”

Section: System Modelmentioning

confidence: 99%

“…In [8], signal detection and error performance of an ambient backscatter communication system have been investigated where the tag uses a differential encoder to exempt the reader from estimating the channel, and an averaging technique, similar to the prototype in [2], is used for detection. The same approach has been extended to the case when the reader has multiple antennas in [9]. Motivated by the fact that OFDM is the prevalent modulation scheme in most modern communications systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

Backscatter Communications Over Ambient OFDM Signals Using Null Subcarriers

ElMossallamy

Han

Pan

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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In recent years, ambient backscatter communications have gained a lot of interest as a promising enabling technology for Internet-of-Things and green communications. In ambient backscatter communication systems, battery-less devices are able to transmit information by backscattering ambient RF signals generated by legacy communication systems such as digital TV broadcasting, Wi-Fi, or cellular. This paper is concerned with ambient backscatter communications over legacy cellular OFDM signals. We propose a novel modulation scheme that allows backscattering devices to take advantage of the spectrum structure of ambient OFDM symbols to transmit information. We analyze the error performance of the proposed scheme, provide an exact expression for the error probability, and validate our analysis using Monte-Carlo simulation. We investigate the effects of varying the OFDM symbol size and maximum channel delay spread on the error performance. Our numerical results show that the proposed technique outperforms other techniques available in the literature for backscatter communication over ambient OFDM signals in different scenarios.

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Signal detection for ambient backscatter system with multiple receiving antennas

Cited by 33 publications

References 9 publications

Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

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

Backscatter Communications Over Ambient OFDM Signals Using Null Subcarriers

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