ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods

Space-time adaptive processing

Low complexity anti-jam space-time processing for GPS

This paper investigates the performance of reduced rank spacetime processors in the context of anti-jam mitigation for an MCode based GPS receiver utilizing a circular array. Several adaptive processing algorithms are discussed utilizing power minimization techniques. It is assumed an INS (Inertial Navigation System) or direction finding algorithm is incorporated into the receiver for satellite...

Space-time Adaptive Processing (stap) for Low Sample Support Applications

Airborne radar Space-Time Adaptive Processing (STAP) in a heterogeneous, target-rich environment is addressed. An efficient Kalman Filter implementation of the normalized form of the Parametric Adaptive Matched Filter (NPAMF) is introduced and shown to perform well against a detailed simulation of a site-specific, dense-target environment, Ground Moving Target Indication (GMTI) scenario. The nu...

Space-Time Adaptive Processing: Fundamentals

In this lecture, we present the principles of space-time adaptive processing (STAP) for radar, applied to moving target indication. We discuss the properties of optimum STAP, as well as problems associated with estimating the adaptive weights not encountered with spatial-only processing (i.e. beamforming).

Space-Time Adaptive Processing: Algorithms

In this lecture, we present some suboptimum STAP algorithms for radar, applied to moving target indication. In addition, we show some MTI results obtained with the multi-channel airborne experimental radar AER-II of FGAN-FHR.