Title :
A fuzzy recognition method of emitter based on Variable Precision Rough Set Model
Author :
Ting, Chen ; Jing-qing, Luo
Author_Institution :
Lab.308, Electron. Eng. Inst. of PLA, Hefei
Abstract :
In order to settle the problem of emitter recognition, the method of feature weights setting which applies variable precision rough set model is researched in this paper. Because this weight setting method is completely decided by data itself, it is more impersonal and practical. The description of object classpsila condition attribute in conception positive region can be used to get the plenary condition of this conception. The weights of feature parameters in emitter recognition can be gained by the dependences between knowledge; at the same time, the fuzzy theory is combined to form an emitter fuzzy recognition method based on feature weight by variable precision rough set model. At last, this mixed method is applied in radar emitter type recognition, simulation and the results show it is effective and feasible.
Keywords :
fuzzy set theory; radar signal processing; radar target recognition; rough set theory; emitter fuzzy recognition method; emitter recognition; fuzzy theory; radar emitter type recognition; variable precision rough set model; weight setting method; Databases; Electronic mail; Fuzzy set theory; Fuzzy sets; Knowledge based systems; Large-scale systems; Pattern recognition; Programmable logic arrays; Radar theory; Set theory; Variable Precision Rough Set Model; emitter recognition; equivalent relationship; feature weight; fuzzy theory;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697595