西安电子科技大学学报（自然科学版）2025，Vol.52Issue(6)：152-168,17.DOI:10.19665/j.issn1001-2400.20250805
全双工通信感知一体化鲁棒波束赋形算法
Robust beamforming algorithm for full-duplex integrated sensing and communication
摘要
Abstract
The self-interference(SI)problem in full-duplex integrated sensing and communication(FD-ISAC)systems leads to degradation of their sensing performance.To address this problem,a robust beamforming algorithm for FD-ISAC based on the deep deterministic policy gradient(DDPG)is proposed.By constructing a multiuser FD-ISAC system model,the Cramér-Rao bound(CRB)of the perceptual performance is derived based on parameters such as the angle of arrival,and the minimum CRB is obtained by adjusting the beam assignment matrices of upstream and downstream and the power constraints.In order to reduce the impact of SI on the system performance,the improved least-squares(LS)method is used for the estimation of the SI channel,with self-interference cancellation carried out.Considering that the channel estimation depends on the pilot signal,and that improper multiplexing of the pilot frequency will lead to the pilot contamination,the pilot frequency allocation strategy is designed By constructing an interference graph based on the airspace correlation of transceiver antennas,the transceiver antennas with airspace coupling are mapped as vertices,and the orthogonal guide frequencies are assigned by a graph coloring algorithm to minimize the number of orthogonal guide frequencies.Finally,the DDPG Beamforming algorithm is executed.Simulation results show that compared with the existing benchmark algorithms,the proposed algorithm can improve the perception performance,effectively suppress the system SI and reduce the pilot contamination level,which verifies the effectiveness of the proposed algorithm.关键词
通信感知一体化/全双工通信/波束赋形/深度确定性策略梯度/导频污染Key words
integrated sensing and communication/full-duplex communication/beamforming/deep deterministic policy gradient/pilot contamination分类
信息技术与安全科学引用本文复制引用
谢健骊,程一鸣,李翠然,李春玲,吴雨垚..全双工通信感知一体化鲁棒波束赋形算法[J].西安电子科技大学学报（自然科学版）,2025,52(6):152-168,17.基金项目
国家自然科学基金(62161016) （62161016）
中国国家铁路集团有限公司科技研究开发计划项目(N2024G036) （N2024G036）
甘肃省自然科学基金(24JRRA227) （24JRRA227）
