This two-part paper presents a comprehensive approach to practical space–time adaptive processing (STAP) for airborne phased array applications. Part 1 reformulates the JDL algorithm to remove restrictions placed by the original development for ideal linear arrays of point sensors. In doing so the performance of the JDL algorithm is significantly improved in simulations and in measured data. The paper deals with STAP in homogeneous and non-homogeneous environments with Part 1 focusing on homogeneous environments and Part 2 dealing with STAP within range cells determined to be nonhomogeneous. Part 1 deals with applying the previously proposed joint domain localised (JDL) algorithm to practical phased arrays. Part 2 introduces a new STAP algorithm for application in nonhomogeneous interference scenarios. The algorithm is a hybrid of direct data domain and statistical adaptive processing.
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Adve et al. (2000) studied this question.
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