This work shows how to handle both Rayleigh fading and lognormal shadowing in coverage prediction, and how to estimate signal strengths and bit-error probability. It aims to teach the reader how to implement acceptance procedures that help determine whether a test plan will be cost-efficient and also how system coverage procedures will evolve in the coming years. Other chapters detail expressions for area coverage, models for median path, relations for the ratio of desired to undesired signal level, and how to establish communications distance. The disk contains FORTRAN source code which can be used to solve challenging formulas and propagation models.
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Garry Hess is a research member of the technical staff in the land-mobile products sector of Motorola, Inc. He holds a Ph.D. in electrical engineering from the University of Illinois at Champagne/Urbana. Dr. Hess is the author of Land-Mobile Radio System Engineering, also published by Artech House.
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