This paper investigates the time-frequency correlation of spectrogram samples when overlapping windows are considered in the computation of the short-time Fourier transform (STFT). Specifically, a general closed-form formula is derived and its properties analyzed. Moreover, the practical usefulness is demonstrated on both simulated and real data, for the problem of small-drones detection based on FMCW radar. Results show that a pre-whitening filter compensating for the correlation can significantly improve the detection performance.

On time-frequency correlation in spectrogram samples with application to target detection / Parisi, Gianluca; Coluccia, Angelo; Fascista, Alessio. - In: SIGNAL PROCESSING. - ISSN 0165-1684. - STAMPA. - 200:(2022). [10.1016/j.sigpro.2022.108648]

On time-frequency correlation in spectrogram samples with application to target detection

Fascista, Alessio
2022-01-01

Abstract

This paper investigates the time-frequency correlation of spectrogram samples when overlapping windows are considered in the computation of the short-time Fourier transform (STFT). Specifically, a general closed-form formula is derived and its properties analyzed. Moreover, the practical usefulness is demonstrated on both simulated and real data, for the problem of small-drones detection based on FMCW radar. Results show that a pre-whitening filter compensating for the correlation can significantly improve the detection performance.
2022
On time-frequency correlation in spectrogram samples with application to target detection / Parisi, Gianluca; Coluccia, Angelo; Fascista, Alessio. - In: SIGNAL PROCESSING. - ISSN 0165-1684. - STAMPA. - 200:(2022). [10.1016/j.sigpro.2022.108648]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/265381
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