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Research on performance testing of radio fuse based on virtual separation technology

 

 

XU Ai-guo (许爱国)1, JIA Li-xin (贾立新)2, YANG Jin-wei (杨晋伟)3, JIANG Zhi-bao (姜志保)1

 


(1. The People's Liberation Army 63908 Unit, Shijiazhuang 050000, China; 2. Beijing Martial Delegate Agency, Beijing 100042, China; 3. Shanxi Huaihai Industry Group Company, Changzhi 046012, China)

 

Abstract: The conception of virtual separation technology about high/low frequency of electronic module was put forward based on the analysis of tactical performance testing of radio fuse. By means of the principle of fuse Doppler signal acquisition and injection, the high/low frequency of electronic module was virtually separated, and one of important parameters—burst height of radio fuse is tested precisely.

 

Key words: virtual separation; tactical performance; electronic module; Doppler signal acquisition and injection

 

CLD number: TN911.7 Document code: A

 

Article ID: 1674-8042(2013)04-0339-04  doi: 10.3969/j.issn.1674-8042.2013.04.008

 

References

 

[1] QIAN Yuan,GUO Ying. Research of fuze signal processing modular based on technology of DSP. Journal of Projectiles Rockets, Missiles and Guidance, 2006, 26(3): 269-271.
[2] CHEN Zhao-hui,GUO Dong-min,ZHANG Fei-peng. Impact prior radio fuze signal processing technology based on DSP. Journal of Detection and Control, 2006, 28(4): 52-54, 57.
[3] XI Xiao-hui,ZHANG Zhi-jie,WANG Wen-lian. Detonating control system based on PIC MCU. Chinese Journal of Scientific Instrument, 2006, 27(z3): 89-92.
[4] WANG Xue-dong,YANG Guang-de. Several frequency measuring methods in digital receiver. Communications Technology, 2003, (9): 16-19.
[5] Chang C I, JI Bao-hong. Fisher's linear spectral mixture analysis. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(8): 2292-2304.
[6] YANG Xue-zhi, Pang G K H, Yung N H C. Discriminative training approaches to fabric defect classification based on wavelet transform. Pattern Recognition, 2004, 37(5): 889-899.
[7] Seker S, Ayaz E. Feature extraction related to bearing damage in electric motors by wavelet analysis. Journal of the Franklin Institute, 2003, 340(2): 125-134.

 

 

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