Abstract: In this paper, we consider the problem of array gain-phase error self-calibration and direction of arrival (DOA) estimation for uniform linear arrays. We ...
A critical advancement in recent times has been exploring reinforcement learning (RL) techniques to improve LLMs beyond traditional supervised fine-tuning methods. RL allows models to learn optimal ...
Abstract: In addressing the severe interference caused by noise issues in complex environments and the high-dimensional covariance matrix problem arising from large arrays during target azimuth ...
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