Tree Search for Efficient Target Detection in FMCW Radar

This paper evaluates a tree-search algorithm for transmitter beam forming as an approach for efficient target detection in cognitive radar systems. Key performance metrics such as detection probability, false alarm rate, and energy efficiency are derived to evaluate the efficacy of this adaptive search strategy in the application scenario of a drone performing target detection so that it can find open spaces and avoid collisions. Results indicate that the tree-search approach exhibits improved computational efficiency and faster response times compared to traditional scanning methods. The findings underscore the importance of algorithmic design considerations when addressing trade-offs between accuracy and resource utilization in radar systems. This analysis establishes that tree search in transmitter beam forming is a fast and power-efficient method for detecting targets when the downstream computational costs are high or when the environment is sparse.