Title :
Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression
Author :
Xu, Jia ; Yu, Ji ; Peng, Ying-Ning ; Xia, Xiang-Gen
Author_Institution :
Radar Acad. of Airforce, Tsinghua Univ., Wuhan, China
fDate :
10/1/2011 12:00:00 AM
Abstract :
This paper gives a detailed performance analysis for the novel radar long-time coherent integration method, i.e., Radon-Fourier transforms (RFT). Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.
Keywords :
AWGN; Fourier transforms; Radon transforms; correlation methods; radar resolution; radar target recognition; signal sampling; transient response; 2D correlation function; 2D translational invariance; AWGN; BSSL suppression method; Radon Fourier transform; additive white Gaussian noise; analytic expression; blind speed integer; blind speed sidelobe; blind speed sidelobe suppression; discrete RFT; discrete pulse sampling; false alarm; finite range resolution; linear signal-to-noise ratio gain; loss detection; multitarget linear additivity; radar long time coherent integration method; radar target detection; real multitarget scenario; two dimensional impulse response; AWGN; Doppler effect; Fourier transforms; Object detection; Performance evaluation; Radar detection; Signal to noise ratio;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2011.6034645