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Wireless Communications pp 307–386Cite as

Signal Processing in Wireless Communications

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Abstract

Signal to noise ratio, channel outage, error rate, average error burst length are some of the measures that are used to determine quality of service (QoS). The task of a communication engineer is to achieve high signal to noise ratio, low signal outage probability and minimum error rate. However, meeting all these criteria may not be easy in mobile radio environments. The channel shadowing degrades the received signal to noise ratios by tens of decibels [1], thereby could produce long signal drop outs. The channel fading also results in signal dropouts whenever the interference or noise overwhelms the desired signal. The reduction of signal to noise ratio and the signal dropouts distort the received signal to the extent that the detected signal becomes inaudible if it is voice or full of error bursts if the information is digital.

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  1. Asrar U. H. Sheikh
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© 2004 Springer Science+Business Media New York

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Sheikh, A.U.H. (2004). Signal Processing in Wireless Communications. In: Wireless Communications. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9152-2_7

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  • DOI: https://doi.org/10.1007/978-1-4419-9152-2_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4811-5

  • Online ISBN: 978-1-4419-9152-2

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