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IEEE Transactions on Wireless Communications • Vol 19 • No 9
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel
2020
We consider the non-coherent single-input multiple-output (SIMO) multiple access channel with general signaling under spatially correlated Rayleigh block fading. We propose a novel soft-output multi-user detector that computes an approximate marginal posterio…
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Gaussian Function

Mathematical function

In mathematics, a Gaussian function , often simply referred to as a Gaussian , is a function of the base form

and with parametric extension for arbitrary real constants a, b and non-zero c. It is named after the mathematician Carl Friedrich Gauss. The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter a is the height of the curve's peak, b is the position of the center of the peak, and c (the standard deviation, sometimes called the Gaussian RMS width) controls the width of the "bell".

Gaussian functions are often used to represent the probability density function of a normally distributed random variable with expected value μ = b and variance σ2 = c2.

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IEEE Transactions on Wireless Communications • Vol 19 • No 9
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel
2020
We consider the non-coherent single-input multiple-output (SIMO) multiple access channel with general signaling under spatially correlated Rayleigh block fading. We propose a novel soft-output multi-user detector that computes an approximate marginal posterior of each transmitted signal using only the knowledge about the channel distribution. Our detector is based on expectation propagation (EP) approximate inference and has polynomial complexity in the number of users, the number of receive antennas, and channel …
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