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STAP And Target Detection Technique For Airborne Radar In Nonhomogeneous Environments

Posted on:2007-11-12Degree:DoctorType:Dissertation
Country:ChinaCandidate:W C XieFull Text:PDF
GTID:1118360215470520Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Clutter suppression is critical to airborne radar. In addition to the conventional techniques such as ultralow sidelobe antennas and displaced phased center antenna (DPCA), there has been great interest in space-time adaptive processing (STAP) because it can suppress clutter effectively and improve the detection performance of airborne phased array radar evidently. The premise of the superiority of the conventional statistical STAP is to have ample training samples with interference that are independently and identically distributed (IID) with interference in the test sample, in order to estimate the covariance matrix. Under the nonhomogeneous environment, the performance of the conventional statistical STAP degrades greatly due to lack of sufficient homogeneous training samples.This paper puts its emphasis on the investigation of the STAP algorithm and target detection technique for phased array airborne radar in nonhomogeneous environments. Firstly, some basic knowledge of nonhomogeneous STAP is introduced. Secondly, the nonhomogeneous STAP algorithms are investigated in terms of conventional nonhomogeneous environments, non-sidelooking phased array, cylindrical phased array, and airborne fire-control radar etc. Finally, the problems of clutter suppression and target detection are studied based on measured data for phased array airborne radar. In chapter 2, the STAP method is studied in conventional nonhomogeneous environment. In chapter 3, the clutter suppression approach to airborne radar with non-sidelooking phased array antennas is investigated. In chapter 4, clutter model and clutter suppression for airborne early warning (AEW) radar with cylindrical phased array antennas is studied. In chapter 5, the problem of the ground moving target indication (GMTI) and air moving target indication (AMTI) for airborne fire-control radar is reseached. In chapter 6, the subarray partition problem for airborne phased radar is discussed in pratical engineering application background, and the STAP performance is analyzed at subarray stage. In chapters 7 and 8, the moving target detection technique of phased array airborne radar is analyzed based on measured data, and the simple and effective moving target detection methods are given.
Keywords/Search Tags:Phased Array Airborne Radar, Space Time Adaptive Processing (STAP), Nonhomogeneity, Target Detection, Measured Data
PDF Full Text Request
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