학술논문

Holographic Radar: Optimal Beamformer Design for Detection Accuracy Maximization
Document Type
Conference
Source
2023 IEEE Radar Conference (RadarConf23) Radar Conference (RadarConf23), 2023 IEEE. :1-6 May, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Phased arrays
Costs
Simulation
Image edge detection
Radar detection
Radar
Radar antennas
Beamformer design
reconfigurable holographic surface
radar detection
holographic radar
Language
Abstract
As an emerging antenna technique, reconfigurable holographic surfaces (RHSs) have drawn much attention recently as a promising solution to enable future radar systems with stringent power and cost requirements. In this paper, we propose RHS-empowered holographic radar, where two RHSs serve as transmit and receive antennas to detect a far-field target. Due to the simple and low-cost structure of metamaterial elements in the RHS, the holographic radar is able to achieve satisfactory detection performance at a smaller cost and power consumption compared with a traditional phased array radar. To maximize the detection accuracy of a holographic radar, a closed-form beamformer expression with the highest signal-to-noise ratio (SNR) is derived in order to fully exploit the benefit of incorporating RHSs. To the best of our knowledge, this is the first study on the global optimal beamformer design for RHSs. Simulation results also verify the superiority of the proposed scheme for holographic radar.