High-resolution time-frequency representations based on the local polynomial Fourier transform for over-the-horizon radars

Igor Djurovic; Slobodan Djukanovic; Moeness G. Amin; Yimin D. Zhang; Braham Himed

doi:10.1117/12.919954

3 May 2012 High-resolution time-frequency representations based on the local polynomial Fourier transform for over-the-horizon radars

Igor Djurovic, Slobodan Djukanovic, Moeness G. Amin, Yimin D. Zhang, Braham Himed

Author Affiliations +

Proceedings Volume 8361, Radar Sensor Technology XVI; 836105 (2012) https://doi.org/10.1117/12.919954
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

In this paper, we consider resolving over-the-horizon radar (OTHR) Doppler returns. A high-resolution time-frequency (TF) representation of the received signal is obtained by using the local polynomial Fourier transform (LPFT). From the optimally concentrated LPFT, multicomponent Doppler signatures, which are only several frequency bins apart, are extracted using an instantaneous frequency estimation method based on the Viterbi algorithm. The performance of the proposed method is validated using real data.

Citation Download Citation

Igor Djurovic, Slobodan Djukanovic, Moeness G. Amin, Yimin D. Zhang, and Braham Himed "High-resolution time-frequency representations based on the local polynomial Fourier transform for over-the-horizon radars", Proc. SPIE 8361, Radar Sensor Technology XVI, 836105 (3 May 2012); https://doi.org/10.1117/12.919954

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