Title :
Target classification by conventional radar
Author :
Jianjun, Huang ; Jingxiong, Huang ; Weixin, Xie
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
An approach to aircraft target classification by conventional radar is presented that uses the engine modulation on radar echoes from the detected target. The echo series are rearranged into a graph and the modulation signatures are extracted by an optical Fourier transform. A semi-connected backpropagation neural network classifier is trained for classification. Experiment results on an air defense surveillance radar show the effectiveness of the proposed method
Keywords :
Fourier transform optics; Fourier transforms; aerospace engines; aircraft; backpropagation; feature extraction; military systems; modulation; neural nets; radar computing; radar cross-sections; radar detection; radar signal processing; radar target recognition; air defense surveillance radar; aircraft target classification; conventional radar; echo series; engine modulation; experiment results; graph; modulation signature extraction; optical Fourier transform; radar echoes; radar target classification; radar target detection; semiconnected backpropagation neural network classifier; Airborne radar; Aircraft propulsion; Backpropagation; Engines; Fourier transforms; Neural networks; Optical computing; Optical modulation; Radar detection; Surveillance;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.573807
