Title :
SMSP jamming identification based on Matched Signal transform
Author :
Yongping, Li ; Ying, Xiong ; Tang, Bin
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, a new algorithm of jamming recognition based on Matched Signal transform (MST) is proposed according to the characteristic of the Smeared Spectrum (SMSP) jamming. The analytical representations of SMSP jamming in the time domain is derived and the difference that the jamming has a different frequency modulation (FM) rate from the radar signal is studied, then a special filter is designed to identify the jamming type. The simulation shows that this method is feasible and has a fairly high correct identification ratio.
Keywords :
filtering theory; frequency modulation; jamming; radar signal processing; time-domain analysis; transforms; ECM signal; FM rate; MST; SMSP jamming identification; filter design; frequency modulation rate; identification ratio; jamming recognition; matched signal transform; radar signal; smeared spectrum jamming; time domain; Clocks; Electronic countermeasures; Frequency modulation; Jamming; Radar; Signal to noise ratio; Transforms; ECM; Identify; MST; SMSP;
Conference_Titel :
Computational Problem-Solving (ICCP), 2011 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4577-0602-8
Electronic_ISBN :
978-1-4577-0601-1
DOI :
10.1109/ICCPS.2011.6092274
