Circuits, Systems, and Signal Processing

, Volume 37, Issue 8, pp 3136–3153 | Cite as

Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time–Frequency Analysis

  • Nabeel Ali KhanEmail author
  • Sadiq Ali


Novel time–frequency (tf) methods are developed for the detection of non-stationary signals in the presence of noise with uncertain power. The proposed method uses instantaneous frequency estimation and de-chirping procedure to convert a non-stationary signal into a stationary signal, thus allowing us to exploit temporal correlation as an extra feature for signal detection in addition to the signal energy. The proposed method can be used for both mono-sensor and multi-sensor recordings. Area under receiver operating characteristic curve and probability of signal detection are used as criteria for comparing the performance of the proposed signal detection methods with the state of the art in the presence of noise power uncertainty. Simulation results indicate the superiority of the proposed approach.


Non-stationary signal detection De-chirping Instantaneous frequency Temporal correlation 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Electrical EngineeringFoundation UniversityIslamabadPakistan
  2. 2.Department of Electrical EngineeringUniversity of Engineering and TechnologyPeshawarPakistan

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