吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (4): 617-621.

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Parameter estimation of adaptive Chirp signal based on polynomial phase transform

LI Jing, WANG Shuxun, WANG Fei   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2004-03-15 Online:2004-10-01

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Abstract: The problem of estimating the parameters of a Chirp signal was considered. A novel approach was proposed for the Chirp parameter estimation by exploiting the polynomial phase transform (PT) and the adaptive recursive least square (RLS) algorithm. The polynomial phase transform of the polynomial phase signal results in an exponential signal which satisfies the AR model. The estimation of the lower order polynomial phase coefficients can be thus adopted one by one. The main advantage of this algorithm is the improved speed of calculation, less expensive computation, and strong robustness to signal energy level. Simulations show good performance of the proposed algorithm at low signal to noise ratio (SNR).

Key words: information processing technology, Chirp signal, polynomial phase, polynomial phase transform (PT), adaptive algorithm, RLS algorithm, parameter estimation

CLC Number: 

  • TN911.72
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