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arXiv · 2308.07075

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

Kaili Jiang·Dechang Wang·Kailun Tian·Hancong Feng·Yuxin Zhao·Sen Cao·Jian Gao·Xuying Zhang·Yanfei Li·Junyu Yuan·Ying Xiong·Bin Tang
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Abstract

The limited availability of spectrum resources has been growing into a critical problem in wireless communications, remote sensing, and electronic surveillance, etc. To address the high-speed sampling bottleneck of wideband spectrum sensing, a fast and practical solution of power spectrum estimation for Nyquist folding receiver (NYFR) is proposed in this paper. The NYFR architectures is can theoretically achieve the full-band signal sensing with a hundred percent of probability of intercept. But the existing algorithm is difficult to realize in real-time due to its high complexity and complicated calculations. By exploring the sub-sampling principle inherent in NYFR, a computationally efficient method is introduced with compressive covariance sensing. That can be efficient implemented via only the non-uniform fast Fourier transform, fast Fourier transform, and some simple multiplication operations. Meanwhile, the state-of-the-art power spectrum reconstruction model for NYFR of time-domain and frequency-domain is constructed in this paper as a comparison. Furthermore, the computational complexity of the proposed method scales linearly with the Nyquist-rate sampled number of samples and the sparsity of spectrum occupancy. Simulation results and discussion demonstrate that the low complexity in sampling and computation is a more practical solution to meet the real-time wideband spectrum sensing applications.

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Kaili Jiang, Dechang Wang, Kailun Tian, Hancong Feng, Yuxin Zhao, Sen Cao, Jian Gao, Xuying Zhang, Yanfei Li, Junyu Yuan, Ying Xiong, Bin Tang. 2023-08-14. Wideband Power Spectrum Sensing: a Fast Practical Solution for Nyquist Folding Receiver. https://arxiv.org/abs/2308.07075

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