Low-cost Molded Polyparaphenylene Scuttles and Hatches
Small Business Information
SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park, Suite 3000, Woburn, MA, 01801
AbstractScientific Systems Co., Inc. (SSCI) and its subcontractor Lockheed MartinNaval Electronics & Surveillance Systems (LM-NESS) propose to develop anadvance simulation framework for High Range Resolution Radar (HRRR)joint target identification and tracking.New techniques for targetidentification based on HRRR returns, also known as target``signatures'', will be implemented in this advance simulator.Depending on the illumination angle, different scattering centers onthe target are excited, and consequently, the `shape' of the target signaturechange based on these angles. Therefore, a coupled tracking/identificationalgorithm should be used in this situation in order to identify a targetalong an unknown trajectory.Target identification based on HRRR signatures has proven to be adifficult task, due, in part, to the high variability of the signatureshape. Signature shape can change dramatically with the aircraft poseangle, and also with the aircraft configuration (addition or change inexternal ammunition like missiles and bombs). An advance simulationtoolbox is needed to evaluate the performance of differentidentification techniques. The toolbox will include anHRRR simulation, that will allow to model different type ofaircrafts, and also to modify the radar parameters (waveform,Signal to Noise Ratio (SNR), and Pulse Repetition Frequency (PRF)).For this effort, SSCI has teamed up with Lockheed-Martin NavalElectronics & Surveillance Systems (LM-NESS), Eagan, MN., whowill provide technical support for this effort.Non-cooperative Target Recognition (NCTR) algorithms has avast field of applications throughout the Navy, includingTactical Ballistic Missile Defense, Ship Self Defense, andShip Area Defense. Also the Air Force is a potentialcostumer for this technology.Commercial application of this technology exist in several areas suchas: medical screening and diagnosis, remote sensing, road and bridgeinspection, and buried waste detection.
* information listed above is at the time of submission.