Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (7): 1462-1467.doi: 10.3969/j.issn.1001-506X.2011.07.07

Previous Articles     Next Articles

MicroDoppler extraction of precession targets based on generalized complex time frequency distribution

KOU Peng1,2, LIU Yong-xiang1, LI Kang-le1, HUO Kai1   

  1. 1. School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China; 
    2. Xi’an Satellite Control Center, Xi’an 710043, China
  • Online:2011-07-19 Published:2010-01-03

Abstract:

The radar signal model of cone targets with precession is provided, which can develop the relationship between microDoppler and precession parameters. Due to the characteristics of nonlinear frequency modulated and multicomponents in radar signal, generalized complextimefrequency distribution(GCD) is introduced to analyze the microDoppler of targets with precession, which has better concentration and timefrequency resolution compared with that of classical timefrequency distributions. Moreover, the estimation algorithm of microDoppler instantaneous freqThe radar signal model of cone targets with precession is provided, which can develop the relationship between microDoppler and precession parameters. Due to the characteristics of nonlinear frequency modulated and multicomponents in radar signal, generalized complextimefrequency distribution(GCD) is introduced to analyze the microDoppler of targets with precession, which has better concentration and timefrequency resolution compared with that of classical timefrequency distributions. Moreover, the estimation algorithm of microDoppler instantaneous frequency based on GCD and Viterbi method is proposed to reduce the effect of crossterm artifacts and noise, as well as improve the estimating precision. The performance of the estimation algorithm is validated with simulated data and radar data.uency based on GCD and Viterbi method is proposed to reduce the effect of crossterm artifacts and noise, as well as improve the estimating precision. The performance of the estimation algorithm is validated with simulated data and radar data.

[an error occurred while processing this directive]