Conventional active or pensive tarot detection systems are based uponthe ability of the system to discriminate ~ lariat from the background. The problem in detecting a moving target lies in the fact that sensed radiation, reflected or generated, by the object is very close to that of the target background. The interfering background masks the useful signal from the object. This problem arises also if there is no contrast between the object and background. Besides this passive noise, target detection is also degraded by active noise jamming of the detection system sensor. The project will focus on the adaptation of the Background Detection System (BDS) to passive sensors. It will develop architecture for the unique detection and prepare a demonstration of themethodology. The BDS employs an algorithm from Nickar, a Russian company formed from the Institute of Control Science (ICS) of the Russian Academy of Sciences. Nova Management, Inc. (Nova) will analyze severalUS detection Systems and develop interfaces between these system and the BDS algorithms. Nickar will be a subcontractor to Nova and assist in preparing laboratory demonstration of the system. The application of the BDS for this project is specifically directed to the integrationof this method with passive sensors. These sensors detect radiation of a target end discriminate the target from the background.
Benefits: The benefit of the project is to ensure that low signature vehicles are easily detected. The BDS methodology can be used in commercial application such as precision machining, the fishing industry, and in theanalysis of organic cells.
