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Found 5 papers, 0 papers with code
Resilient Sparse Array Radar with the Aid of Deep Learning
In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array.
Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays
We further analyze the best choice for the training SNR as a function of the test SNR, and observe dramatic changes in the behavior of this function for different angle ranges.
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.
Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array
In this paper a robust algorithm for DOA estimation of coherent sources in presence of antenna array imperfections is presented.
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation
In this paper, we introduce a novel algorithm that can dramatically reduce the number of antenna elements needed to accurately predict the direction of arrival (DOA) for multiple input multiple output (MIMO) radar.
