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Low Complexity Radio Mobile Speed Estimation Using Count of Received Envelop Peaks and Troughs

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Information and Communication Technology for Development for Africa (ICT4DA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1026))

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Abstract

Low complexity mobile speed estimation is required for power control, mobility and resource management, effective handoff, and outage probability computation of cellular mobile communication systems. It is also useful for mobility determination and energy-efficient packet routing in wireless sensor and mobile ad-hoc networks. In this paper, we present a low complexity mobile speed estimation model using count of peaks and troughs of the received signal envelop. Our simulation result shows that the model has a maximum error of 0.25 m/s. The model has two advantages. First, it does not require measurement of the received signal power; it only counts envelop peaks and troughs. Second, the model is independent of dc offset inherent in the radio receivers. However, the model has one limitation- it does not give the crossing component of a mobile’s velocity.

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Author information

Authors and Affiliations

  1. Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia

    Atli Lemma

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  1. Atli Lemma
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Correspondence to Atli Lemma .

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Editors and Affiliations

  1. Council for Scientific and Industrial Research, Meraka ICT Institute, Pretoria, South Africa

    Fisseha Mekuria

  2. Department of Future Technologies, University of Turku, Turku, Finland

    Ethiopia Nigussie

  3. ICT4D Research Center, Bahir Dar University, Bahir Dar , Ethiopia

    Tesfa Tegegne

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Lemma, A. (2019). Low Complexity Radio Mobile Speed Estimation Using Count of Received Envelop Peaks and Troughs. In: Mekuria, F., Nigussie, E., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2019. Communications in Computer and Information Science, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-26630-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-26630-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26629-5

  • Online ISBN: 978-3-030-26630-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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