SAR/GMTI Wheel/Track Vehicle Targets Micro-motion Echo Signal’s Simulation, Extracting And Analysis Of Feature

Synthetic aperture radar (SAR), as a kind of high-tech detection tools, has veryimportant value in research and practical application of every fields. Research ofmilitary target detection and recognition is a popular direction in the study of militaryapplication of SAR.In this dissertation, the work of simulation, extraction and target featureextraction and analysis of wheel/track vehicle moving target echo signal with thescene noise in SAR/GMTI dual-channel mode platform are mainly discussed. Due toactual radar echo signal from wheel/track vehicle micro-motion and the scene are bothdifficult to acquire, and the simulation of those echo signal is needed. Micro-motionof vehicle is usually accompanied by translation, thus echo signal can be detected byDPCA clutter suppression technology and CFAR detection technology, and also canbe extracted from residual background echo signal by signal separation technology.time-frequency analysis is available in feature analysis of non-stationary randommicro-motion echo signal. The main work in the dissertation is arranged as follows:1, The basic technologies of SAR are analyzed, including Wheel/track vehicleecho signal simulation, the scene echo signal simulation, DPCA clutter suppression,empirical mode decomposition, the waveform entropy and the time-frequency;2, Research of a kind of technology for jungle region segmentation based onSAR image domain and jungle area targets for the scene in the jungle area round-tripattenuation and shade effect simulation are provided.3, Dual channel Wheel/track vehicle micro-motion echo signal simulation isgiven, based on the working principle of SAR dual channel. At the same time, thecharacteristics of Wheel/track vehicle echo signal under different speed andmovement direction are discussed. According to the inverse R-D algorithm andworking principle of the dual channel, a simulation method in the scene of echo signalis presented, and then the round-trip attenuation and the blocking effect of jungle areain scene echo signal are discussed.The simulation method of echo signal is also givenwhen the vehicle targets are influenced by the jungle area.4, The slice of echo signals contains micro-motion echo signal is detected andextracted, in which DPCA clutter suppression technology and CFAR detectiontechnology are adopted. At the same time, the separation method of the slice thatcontain residual background clutter echo signal is discussed.5, Features of micro-motion echo signal slicing are analyzed through using time-frequency analysis method, and features of time-frequency diagram are extractedby using the waveform entropy. Moreover, the Wheel/track vehicle’s features of thetime-frequency and waveform entropy are analyzed.