Abstract
A technique for developing a two-level finite-state Markov model that can accurately describe a frequency nonselective slowly fading channel is illustrated. A dynamic channel model is first found by monitoring the receiver input signal-to-noise ratio (SNR). Each channel state is then embedded with a binary error Fritchman model. From the Markov model, system performance parameters, such as the bit-error-rate (BER), can be determined directly.
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© 1996 Springer Science+Business Media New York
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Tranter, W.H., Lee, O.H. (1996). On the Use of Signal-to-Noise Ratio Estimation for Establishing Hidden Markov Models. In: Rappaport, T.S., Woerner, B.D., Reed, J.H. (eds) Wireless Personal Communications. The Springer International Series in Engineering and Computer Science, vol 424. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5491-2_16
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DOI: https://doi.org/10.1007/978-1-4615-5491-2_16
Publisher Name: Springer, Boston, MA
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