Power allocation algorithm for target capacity in integrated radar and communication system

被引:0
作者
Zhang, Zhenkai [1 ]
Xiao, Yue [1 ]
Shang, Xiaoke [1 ]
机构
[1] Ocean College, Jiangsu University of Science and Technology, Jiangsu, Zhenjiang
来源
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2025年 / 53卷 / 03期
关键词
channel capacity; integrated radar and communication system; optimization problem; power allocation; target location;
D O I
10.13245/j.hust.250673
中图分类号
学科分类号
摘要
In order to solve the problem of low power resource utilization in integrated radar and communication system,a power allocation algorithm for target capacity was proposed,which taked the total power of the system as the limit condition,and increased the number of targets satisfying the positioning accuracy while ensuring the communication channel capacity.Firstly,the Cramer-Rao lower bound of target positioning error was given,and exponential function was introduced to establish a power allocation model to maximize target capacity under power and channel capacity constraints.After adding the target weight factor,the problem of maximizing the target capacity was transformed into the problem of minimizing the total positioning error,and the alternate optimization algorithm was used to solve it.The simulation results show that the proposed algorithm can effectively increase the number of targets when the total power of the system is constant and the positioning performance and communication channel capacity are guaranteed. © 2025 Huazhong University of Science and Technology. All rights reserved.
引用
收藏
页码:56 / 62
页数:6
相关论文
共 24 条
[1]  
KESKIN M F, KOIVUNEN V, WYMEERSCH H., Limited feedforward waveform design for OFDM dual-functional radar-communications[J], IEEE Transactions on Signal Processing, 69, pp. 2955-2970, (2021)
[2]  
LIU Y, LIAO G, CHEN Y, Et al., Super-resolution range and velocity estimations with OFDM integrated radar and communications waveform, IEEE Transactions on Vehicular Technology, 69, 10, pp. 11659-11672, (2020)
[3]  
HASSANIEN A, AMIN M G, ZHANG Y D, Et al., Dual-function radar-communications: information embedding using sidelobe control and waveform diversity [J], IEEE Transactions on Signal Processing, 64, 8, pp. 2168-2181, (2015)
[4]  
JIANG M, LIAO G, YANG Z, Et al., Integrated radar and communication waveform design based on a shared array[J], Signal Processing, 182, (2021)
[5]  
GAUDIO L, KOBAYASHI M, CAIRE G, Et al., On the effectiveness of OTFS for joint radar parameter estimation and communication[J], IEEE Transactions on Wireless Communications, 19, 9, pp. 5951-5965, (2020)
[6]  
LIU F, ZHOU L, MASOUROS C, Et al., Dual-functional cellular and radar transmission: beyond coexistence, Proc of IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1-5, (2018)
[7]  
CHIRIYATH A R, RAGI S, MITTELMANN H D, Et al., Novel radar waveform optimization for a cooperative radar-communications system[J], IEEE Transactions on Aerospace and Electronic Systems, 55, 3, pp. 1160-1173, (2019)
[8]  
ZHOU Y, ZHOU H, ZHOU F, Et al., Resource allocation for a wireless powered integrated radar and communication system[J], IEEE Wireless Communications Letters, 8, 1, pp. 253-256, (2018)
[9]  
WANG X, FEI Z, ZHANG J A, Et al., Constrained utility maximization in dual-functional radar-communication multi-UAV networks[J], IEEE Transactions on Communications, 69, 4, pp. 2660-2672, (2020)
[10]  
GARNAEV A, TRAPPE W, PETROPULU A., A dual radar and communication system facing uncertainty about a jammer's capability, Proc of 52nd Asilomar Conference on Signals,Systems,and Computers, pp. 417-422, (2018)