Title :
A Novel Emitter Recognition Approach to Incomplete Information System
Author :
Guan, Xin ; Yi, Xiao ; He, You
Author_Institution :
Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst., Yantai
Abstract :
Incomplete information system is commonly encountered to emitter recognition problem in practical reconnaissance environment. The main reason is that reports with emitter parameter values are unknown. In order to solve emitter recognition problems in incomplete information system, rough set theory is introduced. A new emitter recognition method to incomplete information system based on rough set theory is presented in this paper. This recognition method does not change emitters´ original information, and it reduces knowledge and finds decision rules directly from incomplete decision table. Example of recognizing the radar emitter is selected to demonstrate this new method. Experimental results show that this new recognition method is effective
Keywords :
artificial intelligence; decision tables; rough set theory; signal detection; decision rules; emitter parameter values; emitter recognition method; incomplete decision table; incomplete information system; radar emitter; rough set theory; Aerospace engineering; Bismuth; Character recognition; Cybernetics; Helium; Information analysis; Information systems; Interleaved codes; Machine learning; Radar; Reconnaissance; Set theory; Surveillance; Uncertainty; Emitter recognition; decision rules; incomplete information system; rough set;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258651
