Abstract

Aiming at improving the detecting probability of weak target and adaptability in multi-clutter background, a new CFAR processing method based on DB4 wavelet (WT-FS-CFAR) is proposed. The proposed method can deal with the wavelet coefficients of the echo signal adaptively and reconstruct a new echo signal. Compared with typical CFAR processor, experimental results show that the proposed method could reduce CFAR lose by 4dB–8dB and increase detection probability by 20% under the background of Rayleigh clutter, Weibull clutter, Log-normal clutter and K distribution clutter. The method has good robustness and adaptability.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.