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Wireless Personal Communications

, Volume 77, Issue 3, pp 2183–2193 | Cite as

Quickest Detection of Multi-channel Based on STFT and Compressed Sensing

  • Qi ZhaoEmail author
  • Xiaochun Li
  • Zhijie Wu
Article

Abstract

This paper proposes a multi-channel quickest detection method based on compressed sensing and short-time Fourier transform. Quickest detection performs a statistical test to obtain the minimal detection delay subject to given false alarm constrains. Short-time Fourier transform, which reflects the time–frequency information, implements the multi-channel quickest detection. Compressed sensing reduces the sampling rate at first. Compared with single-channel spectrum sensing, this method substantially improves the spectrum access opportunity in time and frequency domain. The relationship between the detection delay and other parameters, such as the probability of false alarm, SNR, sparsity, and sampling rate, verifies the validity of the method. While simulation results show that this method can perform spectrum sensing in high detection probability and low probability of false alarm.

Keywords

Spectrum sensing Quickest detection Multi-channel STFT  Compressed sensing 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Electronic Information EngineeringBeihang UniversityBeijing China

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