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Geometric-Based Statistical Channel Modeling for Beam-Pattern-Scanning Antenna Arrays

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Adaptive Antenna Arrays

Part of the book series: Signals and communication technology ((SCT))

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Abstract

Applying carefully-selected time-varying phases (delays) to array elements of an adaptive antenna, an antenna beam-pattern-scanning (BPS) is created in a controlled manner. This creates a time varying channel with a controllable coherence time. With an adaptive antenna at the base station (BS) and a single omnidirectional antenna at the mobile, the controllable coherence time is used by the mobile to exploit time diversity and enhance performance.

In this paper, assuming a BPS antenna array at the BS, the channel is properly modeled and the coherence time is evaluated. A channel impulse response is assumed and its parameters are statistically modeled via a so-called geometric-based stochastic channel model (GSCM). We consider circular and elliptical coverage areas, and the channel is simulated in an urban (high scattering) environment. We demonstrate the relationship between coherence time and the antenna array control parameters and show that up to 7-fold-diversity can be created via small degrees of beam pattern scanning.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Computer Engineering, Michigan Technological University, MI, Houghton, 49931-1295, USA

    Seyed Alireza Zekavat

  2. Dept. of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, 80523-1373, USA

    Carl R. Nassar

Authors
  1. Seyed Alireza Zekavat
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  2. Carl R. Nassar
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Editor information

Editors and Affiliations

  1. 32, Jalan S.G 6/8, Sri Gombak, 68100, Batu Caves, Selangor Darul Ehsan, Malaysia

    Sathish Chandran

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© 2004 Springer-Verlag Berlin Heidelberg

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Zekavat, S.A., Nassar, C.R. (2004). Geometric-Based Statistical Channel Modeling for Beam-Pattern-Scanning Antenna Arrays. In: Chandran, S. (eds) Adaptive Antenna Arrays. Signals and communication technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05592-2_18

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  • DOI: https://doi.org/10.1007/978-3-662-05592-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05775-5

  • Online ISBN: 978-3-662-05592-2

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