TY - GEN
T1 - Unified Metric-Based Multi-Platform Network
T2 - 2020 IEEE Radar Conference, RadarConf 2020
AU - Ni, Yuanhan
AU - Wang, Zulin
AU - Huang, Qin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Besides radar and communication, this paper investigates the integration of three functionalities including jamming. To this end, a unified metric-based network system consisting of multi-platform with different capabilities is proposed to integrate radar, communication and jamming functionalities. In such a system, radar target, communication user and jammed target are regarded as the virtual generalized users. To facilitate the collaboration of multi-platform, all generalized users have the designed unified signal-to-noise ratio (SNR) metric. Given the SNR model, two optimization-based transmit beamforming methods are designed: 1) minimizing the total power and 2) maximizing the SNR at anyone radar target. The designed beamforming methods jointly precode radar, communication and jamming waveforms simultaneously, which are non-convex, but can be solved by the classic semidefinite relaxation (SDR) technique. Numerical results show that the proposed multi-function multi-platform (MFMP) network can significantly promote the overall performance of integrated system compared with the single-platform system.
AB - Besides radar and communication, this paper investigates the integration of three functionalities including jamming. To this end, a unified metric-based network system consisting of multi-platform with different capabilities is proposed to integrate radar, communication and jamming functionalities. In such a system, radar target, communication user and jammed target are regarded as the virtual generalized users. To facilitate the collaboration of multi-platform, all generalized users have the designed unified signal-to-noise ratio (SNR) metric. Given the SNR model, two optimization-based transmit beamforming methods are designed: 1) minimizing the total power and 2) maximizing the SNR at anyone radar target. The designed beamforming methods jointly precode radar, communication and jamming waveforms simultaneously, which are non-convex, but can be solved by the classic semidefinite relaxation (SDR) technique. Numerical results show that the proposed multi-function multi-platform (MFMP) network can significantly promote the overall performance of integrated system compared with the single-platform system.
UR - https://www.scopus.com/pages/publications/85098587381
U2 - 10.1109/RadarConf2043947.2020.9266714
DO - 10.1109/RadarConf2043947.2020.9266714
M3 - 会议稿件
AN - SCOPUS:85098587381
T3 - IEEE National Radar Conference - Proceedings
BT - 2020 IEEE Radar Conference, RadarConf 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 September 2020 through 25 September 2020
ER -