Earticle

초록

영어

The target echo of downward-looking radar can be simulated by a multicomponent Chirp signal with noise, which makes signal detection and parameter estimation a very important processing. Aiming at the problems of error detection caused by the cross-terms in WVD-Hough methods and other modified WVD distribution methods, and low precision due to poor time-frequency concentration in S-Hough transform, this paper proposed a signal detection and parameters estimation algorithm of multicomponent Chirp signals based on generalized S-transform. Firstly calculate the time-frequency distribution of multicomponent Chirp signals by generalized S-transform, then execute Hough transform to the generalized S-transform TFD on the time-frequency plane to implement signal detection and parameter estimation to the multicomponent Chirp signals. The simulation results show that this algorithm has good performance in detection the multicomponent Chirp signals in low SNR case.

목차

Abstract
 1. Introduction
 2. Background
  2.1. Theory of Generalized S-transform
  2.2. Detection and Parameter Estimation Method of Chirp Signal based on HoughTransform [1]
 3. The Detection and Parameter Estimation Algorithm Flow
 4. Simulation Results and Analysis
 5. Conclusions and Suggestion
 Acknowledgements
 References

키워드

저자

• Dianwei Wang [ School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications ]
• Jiulun Fan [ School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications ]
• Yonghua Li [ State Key Laboratory of Astronautic Dynamics, China Xi’an Satellite Control Center ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605