Study on Algorithms of Sensor mode Management
Based 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.
Li Zhou Xiuzhen Yang Chuanwen Ju Jinyong Yu
Math & Information College, Ludong University, Yantai, 264025, P. R. China 302 Research Section, Naval Aeronautical Engineering Institute, Yantai 264001, P. R. China Department of Armament Engineering, Naval Aeronautical Engineering Institute, Yantai 264001, P. R. C
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
1369-1373
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）