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Two High Accuracy Frequency Estimation Algorithms Based on New Autocorrelation-Like Function for Noncircular/Sinusoid Signal

Kai WANG, Jiaying DING, Yili XIA, Xu LIU, Jinguang HAO, Wenjiang PEI

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Summary :

Computing autocorrelation coefficient can effectively reduce the influence of additive white noise, thus estimation precision will be improved. In this paper, an autocorrelation-like function, different from the ordinary one, is defined, and is proven to own better linear predictive performance. Two algorithms for signal model are developed to achieve frequency estimates. We analyze the theoretical properties of the algorithms in the additive white Gaussian noise. The simulation results match with the theoretical values well in the sense of mean square error. The proposed algorithms compare with existing estimators, are closer to the Cramer-Rao bound (CRLB). In addition, computer simulations demonstrate that the proposed algorithms provide high accuracy and good anti-noise capability.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.7 pp.1065-1073
Publication Date
2018/07/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E101.A.1065
Type of Manuscript
PAPER
Category
Digital Signal Processing

Authors

Kai WANG
  Southeast University
Jiaying DING
  Southeast University
Yili XIA
  Southeast University
Xu LIU
  Southeast University
Jinguang HAO
  Ludong University
Wenjiang PEI
  Southeast University

Keyword