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

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Abstract

Novel time–frequency (t–f) 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.

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Authors and Affiliations

  1. Electrical Engineering, Foundation University, Islamabad, Pakistan

    Nabeel Ali Khan

  2. Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan

    Sadiq Ali

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  1. Nabeel Ali Khan
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  2. Sadiq Ali
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Correspondence to Nabeel Ali Khan.

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Khan, N.A., Ali, S. Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time–Frequency Analysis. Circuits Syst Signal Process 37, 3136–3153 (2018). https://doi.org/10.1007/s00034-018-0825-5

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  • DOI: https://doi.org/10.1007/s00034-018-0825-5

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