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Statistical Analysis of Ultra-Wideband Signed Decision Variable

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Modeling undesired interference and noise is always a challenge in wireless communication system. The most common model used is the Gaussian distribution. However, studies show that broadband signals tend to exhibit non-Gaussian statistical behavior as compared to narrowband system. In this paper, we study the statistical distribution of ultra-wideband signed decision variable in the presence of inter-symbol interference and multiple access interference. Simulated distribution has been done by collecting the data after passing through the IEEE standard channel model at the equalizer output. Results show that the Generalized Gaussian model with different shape factors is more preferable to be used compared to the Middleton Class-A and Gaussian models.
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Keywords: Generalized Gaussian; Middleton Class-A; Signed Decision Variable; Ultra-Wideband

Document Type: Research Article

Affiliations: Faculty of Engineering, Multimedia University, Jalan Multimedia, Cyberjaya, 63100 Selangor, Malaysia

Publication date: November 1, 2017

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