24 October 2016 Moving target detection method for bistatic radar using random stepped-frequency chirp signal
Caiyong Lin, Ruiqi Tian, Dinghe Wang, Qinglong Bao, Zengping Chen
Author Affiliations +
Abstract
As random stepped-frequency chirp (RSFC) signal is used in wide-band radar applications such as synthetic aperture radar (SAR) and inverse SAR. RSFC has advantages over the linear stepped-frequency chirp, including suppressing the range ambiguity, decoupling the range-Doppler coupling, and reducing the signal interference. RSFC is usually descrambled and then fed to the inverse fast Fourier transform (IFFT) to achieve a coherent integration as well as a high-resolution range. However, this method needs frequency descrambling and accurate velocity pre-estimation for moving target detection. We propose a coherent integration method based on time-dechirping for bistatic radar. This method can detect moving targets without frequency descrambling or accurate velocity pre-estimation. This paper first models the target echo mathematically and outlines the difficulties associated with the processing of IFFT for RSFC. Then the detailed principles of the proposed method are introduced and the flowchart is given. Finally, numerical simulations are conducted to verify the effectiveness of the proposed method and show its detecting ability in the presence of noise.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2016/$25.00 © 2016 SPIE
Caiyong Lin, Ruiqi Tian, Dinghe Wang, Qinglong Bao, and Zengping Chen "Moving target detection method for bistatic radar using random stepped-frequency chirp signal," Journal of Applied Remote Sensing 10(4), 045011 (24 October 2016). https://doi.org/10.1117/1.JRS.10.045011
Published: 24 October 2016
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Radar

Signal detection

Doppler effect

Signal to noise ratio

Synthetic aperture radar

Fourier transforms

RELATED CONTENT


Back to Top