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ABSTRACT
This study discusses near-optimal estimates for a generalized Gaussian Laplace (GGL) distribution based on the method of moment estimation (MME) to precisely comply with the multi-user interference (MUI) in an ultra-wideband (UWB) system. The GGL distribution is a good candidate for modelling non-Gaussian noise, whereas the MME equations based on sample moments sometimes have invalid solutions in the parameter estimation process. In order to overcome this drawback, theoretical moment analysis based on the statistics of the interference is introduced. Additionally, the theoretical approach of the MME combined with a kurtosis matching (KM) method is proposed to accurately model the impulsive feature of the MUI-plus-noise. The suggested GGL approaches show the same results as the existing GGL model adopting infinite training bits, and the system performance is compared to that of existing UWB receivers.
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Notes on contributors
Jinyoung An
Jinyoung An was born in Busan, Korea, in 1981 and received his BE degree in 2007, ME degree in 2009, and PhD in 2013, from Dong-A University, Busan, Korea, all in electronics engineering. From 2013 to 2014, he was a post-doctoral researcher in the Research Institute of Information and Technology at Dong-A University, Busan, Korea. He served as a research professor in the Automobile/Ship Electronics Convergence Center, Ulsan University, Ulsan, Korea, from 2014 to 2015. Since 2015, he has been a research professor in the Team for Next Generation u-Healthcare Technology Development, Pukyong National University, Busan, Korea. His current research interests include wireless communication systems and algorithms, including, UWB, Massive MIMO and OFDM. E-mail: [email protected]