J4 ›› 2012, Vol. 39 ›› Issue (6): 114-123.doi: 10.3969/j.issn.1001-2400.2012.06.019

• Original Articles • Previous Articles     Next Articles

Frequency estimation algorithm based on weight-fusion of multi-section sinusoids with the known frequency-ratio

XIAO Wei;TU Yaqing;LIU Liangbing;MO Zhengjun   

  1. (Department of Information Engineering, Logistical Engineering University, Chongqing  401311, China)
  • Received:2011-08-05 Online:2012-12-20 Published:2013-01-17
  • Contact: XIAO Wei E-mail:wzwry@163.com


Based on weight-fusion of multi-section sinusoids with the known frequency-ratio (MS-Sinusoids-KFR), a frequency estimation algorithm is proposed. This algorithm aims at improving frequency estimation of the short sinusoid in a low signal-to-noise ratio (SNR), and extending the applicable range of the multi-signals fusion method. According to the known frequency-ratio, the frequency-ratio amend matrix is created to deal with the spectrum problems caused by the known frequency-ratio of the MS-Sinusoids-KFR. To make phases coherence and noise elimination, spectrums of the MS-Sinusoids-KFR are weight-fused by the weighted factor. Consequently, precise frequency estimation can be obtained through spectral peak searching for the weight-fusion spectrum. Simulation results show that compared with the present methods, the proposed algorithm works better in frequency estimation, noise immunity and universality.

Key words: frequency estimation, weight-fusion, multi-section sinusoids with the known frequency-ratio(MS-Sinusoids-KFR), noise cancellation

CLC Number: 

  • TN957