SNR-independent methods for estimating maximum Doppler frequency

Hyunkyu Yu, Goohyun Park, Hangyu Cho, Changeon Kang, Daesik Hong

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this letter, we propose two maximum Doppler frequency estimators that are based on the level crossing rate (LCR) and the covariance function (COV). To eliminate the effect of additive noise, we analyze the conditions for the estimators independent of the signal-to-noise ratio (SNR) and implement the conditions with a simple downsampling process. The proposed methods achieve good SNR-independent performance.

Original languageEnglish
Pages (from-to)384-386
Number of pages3
JournalIEEE Signal Processing Letters
Volume12
Issue number5
DOIs
Publication statusPublished - 2005 May 1

Fingerprint

Doppler
Signal to noise ratio
Estimator
Level Crossing
Covariance Function
Additive noise
Additive Noise
Eliminate

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Yu, Hyunkyu ; Park, Goohyun ; Cho, Hangyu ; Kang, Changeon ; Hong, Daesik. / SNR-independent methods for estimating maximum Doppler frequency. In: IEEE Signal Processing Letters. 2005 ; Vol. 12, No. 5. pp. 384-386.
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SNR-independent methods for estimating maximum Doppler frequency. / Yu, Hyunkyu; Park, Goohyun; Cho, Hangyu; Kang, Changeon; Hong, Daesik.

In: IEEE Signal Processing Letters, Vol. 12, No. 5, 01.05.2005, p. 384-386.

Research output: Contribution to journalArticle

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AU - Kang, Changeon

AU - Hong, Daesik

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