TY - GEN
T1 - Parameter Estimation for Reconfigurable Holographic Surfaces enabled Radars
AU - Zhang, Xiaoyu
AU - Zhang, Haobo
AU - Zhang, Hongliang
AU - Liu, Liang
AU - Di, Boya
N1 - Funding Information:
This work is supported in part by the National Key R&D Project of China under Grant No. 2022YFB2902800, National Natural Science Foundation Grant 62271012, and Beijing Natural Science Foundation under Grant L212027 and 4222005.
Publisher Copyright:
© 2022 IEEE.
PY - 2022/11
Y1 - 2022/11
N2 - Parameter estimation is a fundamental task for radar sensing, which is traditionally realized by phased array based radars. However, due to the power-consuming hardware components such as phase shifters, the size of the phased array is constrained given the available power for the radar system, thus leading to a limited estimation precision of phased array based radars. To address this issue, we propose the holographic radar system enabled by the reconfigurable holographic surface (RHS), which is a novel type of metamaterial antenna with simple hardware and low power consumption. Since the desired beams of the RHS are generated by controlling the amplitudes of the signals radiated by the RHS elements, traditional beamforming schemes developed for phased arrays do not fit any more. Therefore, we develop a new beamforming scheme for the RHS-based parameter estimation. In more detail, we derive and analyze the Cramér-Rao bound (CRB) to evaluate the lower bound of estimation error. A CRB minimization problem is then formulated to optimize the estimation precision, and an RHS amplitude optimization algorithm is designed to solve the problem. Simulation results show that for the same power consumption, the estimation precision of the proposed holographic radar can outperform that of the phased array counterpart.
AB - Parameter estimation is a fundamental task for radar sensing, which is traditionally realized by phased array based radars. However, due to the power-consuming hardware components such as phase shifters, the size of the phased array is constrained given the available power for the radar system, thus leading to a limited estimation precision of phased array based radars. To address this issue, we propose the holographic radar system enabled by the reconfigurable holographic surface (RHS), which is a novel type of metamaterial antenna with simple hardware and low power consumption. Since the desired beams of the RHS are generated by controlling the amplitudes of the signals radiated by the RHS elements, traditional beamforming schemes developed for phased arrays do not fit any more. Therefore, we develop a new beamforming scheme for the RHS-based parameter estimation. In more detail, we derive and analyze the Cramér-Rao bound (CRB) to evaluate the lower bound of estimation error. A CRB minimization problem is then formulated to optimize the estimation precision, and an RHS amplitude optimization algorithm is designed to solve the problem. Simulation results show that for the same power consumption, the estimation precision of the proposed holographic radar can outperform that of the phased array counterpart.
KW - Cramér-Rao bound
KW - Parameter estimation
KW - radar signal-to-noise ratio
KW - reconfigurable holographic surface
UR - http://www.scopus.com/inward/record.url?scp=85142626709&partnerID=8YFLogxK
U2 - 10.1109/ISWCS56560.2022.9940411
DO - 10.1109/ISWCS56560.2022.9940411
M3 - Conference article published in proceeding or book
AN - SCOPUS:85142626709
T3 - Proceedings of the International Symposium on Wireless Communication Systems
SP - 1
EP - 6
BT - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
PB - VDE Verlag GmbH
T2 - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
Y2 - 19 October 2022 through 22 October 2022
ER -