Earticle

초록

영어

In this paper Time-varying Auto regressive model (TVAR) based approach for instantaneous frequency(IF) estimation of the frequency modulated signal in noisy environment is presented. Covariance method is applied for least square estimation of time-varying autoregressive parameters. Time-varying parameters are expressed as a linear combination of constants multiplied by basis functions. Then, the time-varying frequencies are extracted from the time-varying parameters by calculating the angles of the estimation error filter polynomial roots. The experimental results are presented for IF estimation, prediction and power spectrum estimation of non stationary signals. we have also discussed the spectral resolution ability of TVAR Model. Simulation and experimental results demonstrate that TVAR is an effective solution to non-stationary signal analysis and has strong capability in signal time-frequency feature extraction.

목차

Abstract
 1. Introduction
 2. TVAR Modeling
 3. Parameter Selection
  3.1. Choice of the Basis Functions
  3.2. Order Selection
 4. Time-Varying Frequency/Time-varying Power Spectra
 5. Experimental Procedure
 6. Simulation Results
  6.1. Linear FM Signal
  6.2. Non-linear FM Signal
  6.3. Closely Spaced Three Component Linear Chirp Signal
 7. Conclusions
 References

키워드

저자

• G. Ravi Shankar Reddy [ Dept.of ECE, CVR College of Engineering, Hyderabad, India ]
• Dr. Rameshwar Rao [ Vice - Chancellor, JNT University, Hyderabad, India ]

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