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Advanced Algorithm Development

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
C & P Technologies, Inc.
317 Harrington Avenue Suites 9&10 Closter, NJ -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: Advanced Algorithm Development
Agency / Branch: DOD / MDA
Contract: HQ0006-03-C-0028
Award Amount: $69,970.00


"A new method for classification, identification and discrimination of warhead versus decoy based on combined transmit waveforms and radar receiver design is proposed as part of the Phase-I effort. Fully geared for software implementation, this newmethodology is based on jointly optimizing transmit waveform and receiver filter for automatic target recognition and identification of multiple targets. The proposed technique is applied and illustrated for a three as well as a four targetproblem. The resulting probability of correct classification is significantly better than that achieved by a conventional chirp or any other waveform. As part of the Phase-I effort an implementable prototype MATLAB package for missile identification andbetter classification using the proposed approach for MDA personal use will be developed and delivered. The transmitter-receiver waveform pairs proposed here are optimal in the sense that 'no other' pair generates a greater target separation in thereceived signal subspace for better target classification. Phase I efforts will concentrate on quantifying the improvement in performance by the proposed methods and will be supported by analytical study as well as simulation results. A wide range of wireless communication systems may benefit from optimal trans-receiver design, including high-mobility cellular systems, low-mobility short-range systems, wireless local loop applications, satellit

Principal Investigator:

S.Radhakrishnan Pillai
Senior Systems Engineer

Business Contact:

S. Unnikrishna Pillai
Small Business Information at Submission:

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

EIN/Tax ID: 113211386
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No