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The Middleton class A interference model is a statistical-physical and parametric model for man-made and natural electromagnetic (EM) interference. In this paper, the efficient estimation of the Class A model parameters based on least square gradient method is derived. The considered estimator converges fast and low-complexity with performance approaching theoretical optima for large data samples...
Antenna arrays are widely employed in communication systems, because the performance improvements over single antenna systems. The noise in multiple antennas may be statistically dependent from antenna to antenna and may be non-Gaussian. In this paper an efficient estimation of two-dimensional version Middleton's Class A noise model parameters is derived based on Markov Chain Monte Carlo (MCMC). This...
The Middleton Class A interference model is statistical-physical and parametric model for man-made and natural electromagnetic interference. In this letter, the efficient Bayesian estimator of the Class A model parameters is derived and calculated by the Gibbs sampler, a Markov Chain Monte Carlo (MCMC) procedure. The estimator can estimate two-parameter and hidden states for Class A noise model simultaneously...
Conventional linear receivers which are effective and optimum for white Gaussian noise can drastically degrade the performance or even made ineffective when operating against non-Gaussian noise. On the other hand, the performance of communications operating in such impulsive channels can be greatly enhanced if the true statistics of the channel are known and exploited. The Middleton interference model...
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