Wideband spectrum sensing using step-sampling based on the multi-path nyquist folding receiver

Tian, Kailun; Jiang, Kaili; Cao, Shixiu; Gao, Xin; Xiong, Ying; Tang, Bin; Zhang, Xu-ying; Liu, Hui

doi:10.1016/j.dt.2022.12.016

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…In particular, the NYFR structure is a low-complexity architecture within the CS framework that can theoretically achieve full-band signal detection and reception using a single-channel technique [34][35][36][37]. By mapping the Nyquist Zone (NZ) information of inputs to a modulation bandwidth parameter, the wideband reception of multi-signals is achieved using a single low-speed ADC device.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the existing studies have not considered the case of multiple reception channels. The single channel structure has issues such as interference with folded noise and harmonics, reduced processing capability for the multiple signals and cross-Nyquist zone (NZ) signals, and others based on the inherent bandwidth broadening characteristics of the received signal [37]. There will be a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms and analyze the restricted isometry property (RIP) for multiple signal reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

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Wideband Power Spectrum Sensing: A Fast Practical Solution for Nyquist Folding Receiver

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Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

Jiang¹

2023

Preprint

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<p>Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applications, potentially increasing the shortage of spectrum resources. In this paper, wideband spectrum sensing augmented technology is discussed for distributed UAV swarms to improve the utilization of spectrum. However, the sub-Nyquist sampling applied in existing schemes has high hardware complexity, power consumption, and low recovery efficiency for non-strictly sparse conditions. Thus, the Nyquist folding receiver (NYFR) is considered for the distributed UAV swarms, which can theoretically achieve full-band spectrum detection and reception using a single analog-to-digital converter (ADC) at low speed for all circuit components. There is a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms, one with a complete functional receiver for the UAV swarm with RIS, and another with a decentralized UAV swarm equipped with a complete functional receiver for each UAV element. The key issue is to consider whether the application of RIS technology will bring advantages to spectrum sensing and the data fusion problem of decentralized UAV swarms based on the NYFR architecture. Therefore, the property for multiple pulse reconstruction is analyzed through the Gershgorin circle theorem, especially for very short pulses. Further, the block sparse recovery property is analyzed for wide bandwidth signals. The proposed technology can improve the processing capability for multiple signals and wide bandwidth signals while reducing interference from folded noise and subsampled harmonics. Experiment results show augmented spectrum sensing efficiency under non-strictly sparse conditions. </p>

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Wideband spectrum sensing using step-sampling based on the multi-path nyquist folding receiver

Cited by 3 publications

References 39 publications

Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

Wideband Power Spectrum Sensing: A Fast Practical Solution for Nyquist Folding Receiver

Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

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