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Recognition of LFMCW Fuze Signal Based on QMFBT


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Recognition of LFMCW Fuze Signal Based on QMFBT
LIU Jing1ZHAO Hui-chang1GAO Zhen-ru1
1. School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2. Institute of Engineering Corps,PLA University of Science and Technology,Nanjing 210018,China
electronic countermeasures signal reconnaissance quadrature mirror filter bank linear frequency modulation
TJ434. 1
To extract feature parameters of the fuze signal of linear frequency modulation continuous wave( LFMCW) ,the linear decomposition technique using quadrature mirror filter bank tree ( QMFBT) is adopted. With this method,the intercept signal is sampled and the discrete normalized sequence is then decomposed by QMFBT to analyze the signal character contained in different timefrequency layers. According to the fuze real-time requirements and the signal characteristics,the algorithm of the feature parameter extraction on an appropriate time-frequency layer is presented. Simulation results show that the modulation characteristics of LFMCW can be detected effectively without any prior information,and parameters can be estimated accurately in a low SNR condition. The cross terms from the non-linear transformation are eliminated and the real-time requirements are also satisfied.


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Last Update: 2012-02-28