SNR-independent methods for estimating maximum Doppler frequency

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

Research output: Contribution to journalArticlepeer-review

10 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

Bibliographical note

Funding Information:
Manuscript received September 13, 2004; revised November 18, 2004. This work was supported in part by Samsung Electronics under a project on 4G wireless communication systems. The associate editor coordinating the review of this mansucript and approving it for publication was Dr. Gerald Matz.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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