Advanced Radar Data Fusion

The TSC team proposes to develop a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers. The new generalized formalism is applied to the problem of 3D ISAR imaging of the reentry vehicle (RV) or another object in the ballistic missile threat complex that suppresses radar dipole clutter, using multiple ground-based radars operating at the same or different frequencies. The generalized STAP algorithm is a novel synthesis of ideas from TSC’s successful 3D radar imaging programs with the techniques of adaptive signal processing. TSC and the Sensor and Array Processing Laboratory of the University of Arizona will demonstrate the new Generalized STAP signal processing technique for two important cases: The first is an ultrawideband scenario involving S- and X-band radars that operate coherently to synthesize an ultra-wideband 3D image via Sparse Band Processing (SBP) technology. The second is a geographically distributed coherent constellation of next-generation ground based X-band radars. In Phase I, TSC will simulate ultra-wideband and multisensor radar data and develop prototype radar signal processing algorithms for these two cases.