Level crossing rate estimation with Doppler adaptive noise suppression technique in frequency domain

Goohyun Park, Daesik Hong, Changeon Kang

Research output: Contribution to journalConference article

36 Citations (Scopus)

Abstract

The maximum Doppler frequency, or equivalently, the mobile speed is very useful information to optimize the performance of many wireless communication systems. In this paper, an improved method for the maximum Doppler frequency estimation based on the level crossing rate (LCR) estimator is proposed. To reduce the effect of additive noise, the proposed algorithm uses a novel Doppler adaptive noise suppression (DANS) process in frequency domain. The proposed DANS process does not require additional channel information such as signal-to-noise ratio (SNR).

Original languageEnglish
Pages (from-to)1192-1195
Number of pages4
JournalIEEE Vehicular Technology Conference
Volume58
Issue number2
Publication statusPublished - 2003 Dec 1
Event2003 IEEE 58th Vehicular Technology Conference, VTC2003-Fall - Orlando, FL, United States
Duration: 2003 Oct 62003 Oct 9

Fingerprint

Noise Suppression
Level Crossing
Frequency estimation
Additive noise
Doppler
Frequency Domain
Signal to noise ratio
Communication systems
Frequency Estimation
Additive Noise
Wireless Communication
Communication Systems
Optimise
Estimator

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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abstract = "The maximum Doppler frequency, or equivalently, the mobile speed is very useful information to optimize the performance of many wireless communication systems. In this paper, an improved method for the maximum Doppler frequency estimation based on the level crossing rate (LCR) estimator is proposed. To reduce the effect of additive noise, the proposed algorithm uses a novel Doppler adaptive noise suppression (DANS) process in frequency domain. The proposed DANS process does not require additional channel information such as signal-to-noise ratio (SNR).",
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Level crossing rate estimation with Doppler adaptive noise suppression technique in frequency domain. / Park, Goohyun; Hong, Daesik; Kang, Changeon.

In: IEEE Vehicular Technology Conference, Vol. 58, No. 2, 01.12.2003, p. 1192-1195.

Research output: Contribution to journalConference article

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T1 - Level crossing rate estimation with Doppler adaptive noise suppression technique in frequency domain

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AU - Hong, Daesik

AU - Kang, Changeon

PY - 2003/12/1

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AB - The maximum Doppler frequency, or equivalently, the mobile speed is very useful information to optimize the performance of many wireless communication systems. In this paper, an improved method for the maximum Doppler frequency estimation based on the level crossing rate (LCR) estimator is proposed. To reduce the effect of additive noise, the proposed algorithm uses a novel Doppler adaptive noise suppression (DANS) process in frequency domain. The proposed DANS process does not require additional channel information such as signal-to-noise ratio (SNR).

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