Study On Space-Time Adaptive Processing Technology For Airborne

The primary task of airborne radar is to find and detect the moving targets in the backgroundwith strong clutter, therefore it is important to suppress clutter effectively for the radar system.Space-Time Adaptive Processing (STAP) technology which is in both time and space domainscould suppress clutter effectively, so it could be used to improve the ability of detecting movingtargets. However, the STAP technology still faces some practical problems needed to be solved,such as the contradiction between the optimal processing and large amount of computation, thedecrease of the detection performance caused by non-homogeneous environment. With the aboveproblems, the reduced-dimension and reduced-rank algorithms about STAP and STAP algorithms inthe non-homogeneous environment are proposed.Firstly, the thesis introduces the basic principle of STAP, and analyses the practical problems theSTAP algorithms facing. Secondly, some classical STAP reduced-dimension and reduced-rankalgorithms are introduced, and their performance is analyzed and compared by simulation. Then thethesis focuses on the STAP algorithms in the non-homogeneous environment. To solve thenon-homogeneity problem caused by moving interference targets, a modified algorithm based onthe classical the non-homogeneous detector (NHD) is proposed. The modified P-GIP-NHDalgorithm is then combined with a reduced-dimension algorithm to solve the non-homogeneityproblem and the computation problem, their performance is also analyzed by simulation. Lastly, thethesis introduces the non-homogeneity problems caused by non-sidelooking conditions, and twoalgorithms used to solve the problem are introduced, their improvement is also analyzed bysimulation.