SNR-independent methods for estimating maximum Doppler frequency

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

doi:10.1109/LSP.2005.843766

SNR-independent methods for estimating maximum Doppler frequency

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

13 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 language	English
Pages (from-to)	384-386
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	12
Issue number	5
DOIs	https://doi.org/10.1109/LSP.2005.843766
Publication status	Published - 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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10.1109/LSP.2005.843766

Cite this

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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.",

author = "Hyunkyu Yu and Goohyun Park and Hangyu Cho and Changeon Kang and Daesik Hong",

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AU - Yu, Hyunkyu

AU - Park, Goohyun

AU - Cho, Hangyu

AU - Kang, Changeon

AU - Hong, Daesik

N1 - 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.

PY - 2005/5

Y1 - 2005/5

N2 - 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.

AB - 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.

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EP - 386

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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ER -

SNR-independent methods for estimating maximum Doppler frequency

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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