A novel single tone frequency estimation by interpolation using DFT samples with zero-padding

Xiang Jinzhi, Shen Qing, Cui Wei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

A novel algorithm is proposed for frequency estimation of a single complex exponential signal or a real sinusoid signal in additive white Gaussian noise (AWGN). The proposed algorithm consists of a coarse search and a fine search, where the coarse search can be accomplished by maximum likelihood (ML) estimation, while the fine search performs a frequency interpolation via time-domain zero padding before applying discrete Fourier transform (DFT) with a novel residue frequency estimator proposed. Simulation results demonstrate that improved performance can be achieved by our proposed estimator based on zero-padding data sequence.

Original languageEnglish
Title of host publicationICSP 2016 - 2016 IEEE 13th International Conference on Signal Processing, Proceedings
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages277-281
Number of pages5
ISBN (Electronic)9781509013449
DOIs
Publication statusPublished - 2 Jul 2016
Event13th IEEE International Conference on Signal Processing, ICSP 2016 - Chengdu, China
Duration: 6 Nov 201610 Nov 2016

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume0

Conference

Conference13th IEEE International Conference on Signal Processing, ICSP 2016
Country/TerritoryChina
CityChengdu
Period6/11/1610/11/16

Keywords

  • DFT Interpolation
  • Frequency Estimation
  • ML
  • Sinusoid
  • Zero-padding

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