Search Results for author:
Found 5 papers, 1 papers with code
Integrated MIMO Passive Radar Target Detection
The invariance principle is applied in this paper to show that all uncertainties affecting threshold setting can be unified in the direct-path signal power-to-noise power ratio (DNR) of the reference channels.
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.
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.
Adaptive Sparse Array Beamformer Design by Regularized Complementary Antenna Switching
In this work, we propose a novel strategy of adaptive sparse array beamformer design, referred to as regularized complementary antenna switching (RCAS), to swiftly adapt both array configuration and excitation weights in accordance to the dynamic environment for enhancing interference suppression.
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.
