Radar Image of One Dimension Rough Surface With Buried Object

Abstract

Abstract-In order to detect a buried object quickly and accurately, a fast radar imaging method is presented in this paper. At first, complex backscatter data are computed by using propagation-insidelayer expansion combining the forward and backward method (PILE + FB). Then, a conventional synthetic aperture radar (SAR) imaging procedure called back projection method is used to generate 2-D image. The random rough surface with Gauss spectrum is used to simulate the ground. Tapered incident wave is chosen to reduce truncation error. Because backscatter data are computed by fast numerical method, this method is proper for rough surface with any parameters with a buried complex object, which is very useful for realistic object detection.

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

“…There are many radar signatures which can be used for radar target recognition: Natural frequencies of radar target [159][160][161][162][163][164][165][166], high resolution range (HRR) profiles [72,[75][76][77][78][79][80] of radar target, microwave image of the radar target [1,26,31,50,55,70,73,[81][82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100], and inverse synthetic aperture radar (ISAR) [55, 86-100, 125, 126] image proved to be useful features for target recognition. Jet engine modulation and helicopter modulation [127,128] have also been known as useful features for target recognition.…”