NDLI: An accurate velocity estimation algorithm for resource management in next generation wireless systems

Content Provider	IEEE Xplore Digital Library
Author	Mohanty, S. Akyildiz, I.F.
Copyright Year	2004
Description	Author affiliation: Broadband & Wireless Networking Lab., Georgia Inst. of Technol., Atlanta, GA, USA (Mohanty, S.; Akyildiz, I.F.)
Abstract	Information about a mobile user's velocity is important for efficient resource management and quality of service (QoS) provisioning in next generation (NG) wireless systems. A mobile receiver's velocity spreads the received signal envelope in the frequency domain. This spreading is directly proportional to its velocity. A novel algorithm called VEPSD (velocity estimation using the power spectral density of the received signal envelope) is introduced in this paper that uses the amount of Doppler spread in the received signal envelope to estimate the velocity of a mobile user. The Doppler spread is estimated using the slope of the power spectral density (PSD) of the received signal envelope. The performance of the proposed algorithm is evaluated in both Rayleigh and Rician fading environments. The sensitivity of the estimation error to additive white Gaussian noise (AWGN), the estimation interval (effect of finite sample size), the sampling period, Rice factor (K), and the angle of arrival of the line of sight (LOS) component is analyzed and compared with the level crossing rate (LCR) and co-variance based velocity estimators. Also, it is shown that the proposed algorithm, VEPSD, can be used for velocity estimation under non-isotropic scattering and frequency selective fading and is well suited for NG wireless systems.
Starting Page	2848
Ending Page	2853
File Size	169885
Page Count	6
File Format	PDF
ISBN	0780386825
ISSN	01912216
DOI	10.1109/CDC.2004.1428896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-14
Publisher Place	Bahamas
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Quality of service AWGN Frequency estimation Frequency domain analysis Rician channels Estimation error Additive white noise Sampling methods Rayleigh scattering
Content Type	Text
Resource Type	Article

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