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15 August 2023 Based on fractional Fourier transform-tunable Q-factor wavelet transform moving target detection technology
Peng Li, Shanhong Guo
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Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127193A (2023) https://doi.org/10.1117/12.2685834
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
Aiming at the problem that sea clutter suppression in the detection of accelerant and weak targets, a Fractional Fourier Transform-Tunable Q-factor Wavelet Transform (FRFT-TQWT) algorithm is proposed. A search criterion based on the maximum standard deviation is proposed to obtain the optimal pout of FRFT, and then the echo signal is processed by optimal FRFT and inverse Fourier transform. The signal is decomposed into different sub-bands through TQWT for optimizing the wavelet coefficients, and an Ikurt feature selection method is used to extract the wavelet coefficients for reconstruction, so as to achieve the separation of the target from sea clutter. Finally, simulation experiments with measured data from IPIX are carried out to verify the effectiveness of the proposed method. Results show that the algorithm proposed in this paper can improve signal-to-clutter ratio (SCR) and effectively detect the marine moving target in a sea clutter environment.
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Peng Li and Shanhong Guo "Based on fractional Fourier transform-tunable Q-factor wavelet transform moving target detection technology", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127193A (15 August 2023); https://doi.org/10.1117/12.2685834
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KEYWORDS
Clutter
Target detection
Feature extraction
Small targets
Wavelet transforms
Signal processing
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