Rapidly Adaptive Intelligent Radar (RAIR)

Period of Performance: 11/27/2001 - 02/20/2004

$750K

Phase 2 SBIR

Recipient Firm

C & P Technologies, Inc.
317 Harrington Avenue Suites 9 - 10
Closter, NJ 07624
Principal Investigator

Abstract

The sample support problem in space-time adaptive processing (STAP arises from the requirement to adapt to a changing interference environment where the available wide-sense-stationary sample support is severely limited for direct implementation of adaptive algorithms. In this proposal by combining several approaches such as (i) forward/backward subaperture-subarray smoothing techniques (ii) alternating projection algorithms using relaxed projection operators, and (iii) optimum transmitter-receiver design, we have shown that it is possible to reduce significantly the data support in nonstationary environments and achieve superior performance. During the Phase II work period, C & P Technologies proposes to design and build a toolbox called "SNAP" -- SPACE-TIME NONSTATIONARY ADAPTIVE PROCESSING --using Matlab and Visual C++. The software based toolbox package incorporating a variety of STAP techniques (over 30 of them) will be developed as stand alone functions that can be used by potential customer. In addition, a Graphical User Interface (GUI) and a user's manual will also be developed. The software core will be optimized to provide efficient matrix computations for running algorithms that are matrix intensive. Some Matlab functions to be provided in this toolbox will be implemented as MEX programs for improving the run-time of the SNAP functions.