Improved Method for Frequency Estimation of Chirp Sequence Burst Signals

Abstract

This article discusses the selection of training sequence of burst signals, and analyzes the possibility of synchronous reference sequence for chirp signal as the burst signal; this article takes the burst signal of superposition chirp sequence as its research objective, combines the characteristics of time-frequency concentration of chirp signal, and completes the signal initial frequency estimation based on variable-sampling MFT; in the perspective to further improve the estimated accuracy of MFT to frequency offset and frequency offset primary change rate, this article completes the parameter estimation of received signals based on Music algorithm; finally the systematic analyses of Music algorithm performance is conducted under the conditions of different SNR or different frequency offsets or different frequency offset change rates. The simulation results prove that the parameter estimation method based on Music algorithm does improve the resolution ratio effectively and reduce the errors.