Accession Number : AD1032062

Title :   Fully Adaptive Radar Modeling and Simulation Development

Descriptive Note : SBIR Report,09 Jun 2016,09 Jan 2017

Corporate Author : Metron, Inc. Reston United States

Personal Author(s) : Bell,Kristine L ; Kellems,Anthony ; Smith,Graeme E ; McKinley,Bruce L

Full Text :

Report Date : 01 Apr 2017

Pagination or Media Count : 49

Abstract : This is a Small Business Innovation Research (SBIR) Phase I Report developed under SBIR contract for topic AF161-132 Fully AdaptiveRadar Modeling and Simulation Development. We have developed a MATLAB-based modeling and simulation (M and S) architecture fordistributed fully adaptive radar (FAR) that will enable algorithm development and testing on simulated, previously collected, and real-timestreaming data. The architecture is coded in MATLAB using an object oriented programming approach. The architecture includes a FARengine to control the operation of the perception-action cycle and software objects that determine the next set of sensing parameters; obtaindata from the sensor; process the data to track the target; and store and display the results of the sensing and tracking processes. We havedeveloped modules that implement simulated and pre-recorded software defined radar (SDR) data examples, and real-time and simulateddata examples from the Cognitive Radar Engineering Workspace (CREW) at The Ohio State University. The FAR M and S architectureallows for transparent switching between the simulated and experimental CREW data sources, as well as between FAR algorithms thatdrive the sensing. The ability to easily interchange sensing and processing modules will allow for rapid development and testing ofcognitive radar algorithms by structuring the M and S functions to avoid duplicating effort and single point solutions. It will enablecollaboration between researchers in industry, academia, and the Air Force, as algorithms developed by different researchers can be testedand compared using consistent simulations, collected data, and laboratory conditions. Report contains color.

Descriptors :   radar , simulations , computational modeling , signal processing , algorithms , adaptive systems

Subject Categories : Active & Passive Radar Detection & Equipment
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE