Abstract: This paper addresses the direction-of-arrival (DOA) estimation problem for non-circular signals in nested arrays through a block tensor sparse representation (TSR) framework. By establishing ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...