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Found 4 papers, 2 papers with code
Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars
In the present work, a reinforcement learning (RL) based adaptive algorithm to optimise the transmit beampattern for a colocated massive MIMO radar is presented.
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar
We propose a reinforcement learning (RL) based algorithm for cognitive multi-target detection in the presence of unknown disturbance statistics.
Properties of a new $R$-estimator of shape matrices
This paper aims at presenting a simulative analysis of the main properties of a new $R$-estimator of shape matrices in Complex Elliptically Symmetric (CES) distributed observations.
Robust Semiparametric Efficient Estimators in Elliptical Distributions
The class of elliptical distributions can be seen as a semiparametric model where the finite-dimensional vector of interest is given by the location vector and by the (vectorized) covariance/scatter matrix, while the density generator represents an infinite-dimensional nuisance function.
