Study on Algorithms of Sensor mode Management

Bused on hypothesis testing, methods of sensor management used in target detection and localization are studied. The detector used in this problem can operate in "focused mode" and "broad search mode". The former offers higher detection and localization accuracy but less coverage area than the latter. It is supposed that a signal source is to be detected and localized with a sequence of tests, each may use different mode. The goal of sensor management is to build an object function for selecting proper mode in the sequence of tests in order to improve the detection performance. In this contribution, A method of maximum a posteriori probability is presented! methods of maximum correct detecting probability and minimum cost function based on Bayesian Reasoning are discussed. The performance of the three methods are analyzed and compared. The method of maximum correct detecting probability is modified through the simulating process.