This book presents a new approach to designing spatial filters (frequency selective surfaces) having extensive applications in communications and radar systems. A Frequency Selective Surface (FSS) can be deliberated to be a surface creation working as a filter for plane waves at any angles of incidence. Frequency selective surface has been extensively used in broadband communications, radar systems, and antenna technology. In the present days there is an increasing demand for multifunctional antennas for communication systems.

This book describes the effect of various factors such as learning rate, discount factor and epsilon on the training ability of the drone to navigate from source to destination. The higher value of learning rate encourages the fast learning of the drone but here is risk of oscillation rather than converging and for the lower value of learning rate the drone learns slowly but converges steadily. This book work is mainly focused on implementation of the RL algorithms for the smaller areas. For larger complex areas these algorithms are less efficient so Deep Reinforcement learning can be used in...