| Scan Ground Moving Target Indication (Scan-GMTI) can achieve rapid coverageof large scene via scanning operation in azimuth and elevation to obtain higher data rate.Certainly compared with SAR/GMTI, this mode requires a larger radar power apertureproduct, and thus it is difficult to obtain a high resolution. Even so, due to the hightarget revisit rate, and the advantage of reiterative detecting with the large scene, thismode still becomes the main mode of the battlefield surveillance. This dissertationfocuses on four key issues, including the theory of Scan-GMTI, Doppler BeamSharpening (DBS) imaging, clutter suppression and false-alarm mitigation. The maincontents of this dissertation are as follows:Based on the deeply study of the theory of Scan-GMTI technology, theperformance of Scan-GMTI technology is analyzed from the scan duration and the scanarea. Moreover, the data processing flow in Scan-GMTI mode is summarized by dealingwith high-quality simulation data.Based on the study of the theory of DBS imaging, a method of DBS imaging basedon inertial navigation data is given. Then the error of inertial navigation data and itsinfluence is also discussed.Aiming at the problem of clutter suppression, this dissertation studies the priciplesof Space Time Adaptive Processing (STAP) and reduced-rank STAP, investigatesseveral reduced-rank STAP methods, analyzes their advantages and disadvantages indetail, and then demonstrates the clutter suppression performance of Reduced-RankSTAP by simulation results.Based on the study of the principle of Cell Average Constant False Alarm Rate(CA-CFAR), using two-dimensional CFAR detection criteria to process the simulationdata for detecting moving targets. Aiming at the false-alarm problems in detectiontargets, target clustering algorithm and the method of strong clutter elimination areadopted to reduce false-alarm problems. At last, simulation results show the feasibilityand availability of both the false-alarm mitigation methods. |
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