Research Of ∑△ G-STAP Algorithm And Engineering Implement In AEW Radar

The ground-clutter suppressing is a key issue in airborne early warning radars. Since its invention in 197,3, the Space-Time Adaptive Processing Approaches (STAP) have been a major concern due to its anti-jamming and clutter-suppressing capacities. However, the complexity and computing time of multi-channel STAP restrain its application in the field of engineering. The airborne early warning phase array radar consists of∑,ΔA,ΔE and G channel. This paper mainly analyzes the algorithm and performance of samples training of∑ΔG-STAP recorded by test flights, and puts forward the engineering scheme of∑ΔG-STAP.First of all, this thesis expounds the principles of the adaptive array processing, the space-time adaptive processing and the reduced-rank bi-dimensional space-time method, and then reaches the conclusion concerning the meaning of∑ΔG-STAP processing. This thesis introduces several type-selecting methods for the lessening of the influence and enhancing the restraining effect on heterogeneous clutter, including range segmentation, range slide hole and range slide window. This thesis also introduces the Nonhomogeneity Detector based on the Generalized Inner Product(GIP). The isolated singularity have been deleted through the whitening of the data by covariance matrix, and verifies the validity of GIP method on the basis of testing flight data. The thesis also introduces the type-selecting for the signal-processing platform based on the engineering of∑ΔG-STAP processing, including design of one real time parallel signal processing mechanism from the perspectives of processing unit, parallel net structure of processing, parallel algorithm program and task-distribution method. The reconstructable signal-processing system scheme with TS201S processor is adopted, which is on the basis of VXS bus. In the system scheme, the hardware design of the fibre interface modular, exchange modular, and the TS201S processing modular is introduced, as well as the software design on signal-process level and systemtic management level.