Open AccessCompressive wideband spectrum sensing based on single channel
Author(s) -
Sun Weichao,
Huang Zhitao,
Wang Fenghua,
Wang Xiang
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.4223
Subject(s) - wideband , compressed sensing , channel (broadcasting) , nyquist rate , electronic engineering , nyquist–shannon sampling theorem , computer science , waveform , spectral density , signal (programming language) , frequency domain , ultra wideband , spectrum (functional analysis) , telecommunications , engineering , algorithm , sampling (signal processing) , physics , detector , radar , computer vision , programming language , quantum mechanics
The modulated wideband converter (MWC) is an attractive analogue compressed sensing technique that has been proposed in recent years. Regrettably, the MWC has high hardware complexity owing to its parallel channel structure. To reduce the complexity, a novel compressive wideband spectrum sensing scheme based on a single channel for band‐limited wide‐sense stationary (WSS) signals is proposed. In the proposed scheme, a special periodic waveform in the time domain is designed and a power spectrum sensing model is presented to detect the occupied frequency spectrum of such signals from sub‐Nyquist samples of which the sample rate is only MWC's single‐channel rate. Simulation results show that the proposed scheme has a perfect performance on wideband WSS signal spectrum sensing.