A forward-only recursion based HMM for modeling burst errors in digital channels
作者： S. Sivaprakasam , K. Sam Shanmugan
DOI: 10.1109/GLOCOM.1995.502566
关键词: Communication channel 、 Stochastic process 、 Computation 、 Multipath propagation 、 Wireless 、 Fading 、 Computer science 、 Recursion (computer science) 、 Speech recognition 、 Algorithm 、 Hidden Markov model 、 Errors-in-variables models
摘要: This paper presents a last and efficient algorithm to model error the burst patterns that occur in many communication channels. As an application, we characterise indoor wireless channel using our algorithm. Our proposed modeling is modified hidden Markov (HMM) technique uses forward-only by Tan et al. better than existing standard HMM algorithms four ways. Firstly it does not perform any computation during length of observation symbols. Secondly unlike algorithms, method provides uniquely identifiable models. The third advantage use recursion allows us avoid backward variable thus save on memory. Last all, also distributes evenly over each sequence burst. develop based Rappaport's (1991) line-of-sight (LOS) multipath model. exhibits statistically complex fading characteristics for which yields easy-to-use models are derived from more general concepts.
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