面向无人机雷达通信一体化系统的轨迹与资源联合优化

doi:10.11959/j.issn.1000-436x.2021201

Abstract

Abstract:

For the flexible and efficient area detection and data transmission tasks, the joint optimization of time resource allocation, power resource allocation and the trajectory for UAV (unmanned aerial vehicle) trajectory for airborne IRCS (integrated radar and communication system) was studied in a TDM (time division multiplexing) manner, in order to maximize the total weighted capacity of the system’s radar detection link and communication transmission link.To solve the non-convex optimization problem, the BCD (block coordinate descent) and the SCP (successive convex programming) techniques were adopted to iteratively optimize the time resource allocation, power resource allocation and UAV trajectory.The simulation results demonstrate that the proposed method can obtain a convergent solution, and can effectively improve the capacity of the system.

Key words: integrated radar and communication system, UAV, resource allocation, trajectory design, system capacity

CLC Number:

TN914

Shaoshuai FAN, Yufei WANG, Hui TIAN, Jie Zhang, Jinxin SHI. Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system[J]. Journal on Communications, 2021, 42(11): 182-192.

Figures/Tables 14

参数	数值
待探测区域数量（N）/个	4
时隙数量（M）/个	300
无人机总运行时间（T）/s	600
无人机飞行高度（H）/m	30
噪声功率谱密度（n₀）/(dBm.Hz^-1)	-174
系统带宽（B）/MHz	10
载波频率（f_c）/GHz	28
无人机最大功耗（E_max）/J	48
无人机最大飞行速度（v_max）/（m·s^-1）	5
参考信道增益（ρ₀）/dBm	-60
雷达发射天线增益（G_t）/dB	18
雷达接收天线增益（G_r）/dB	18
雷达有效截面（RCS）	1
达探测MI阈值（ $φ_{MI}^{\min}$ ）^[33]/ nat	2.5

References 33

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