A robust joint frequency spectrum and power allocation strategy in a coexisting radar and communication system  

作　　者：Haowei ZHANG Weijian LIU Qun ZHANG Taiyong FEI 

机构地区：[1]Air and Missile Defense School,Air Force Engineering University,Xi’an 710051,China [2]Air Force Early Warning Academy,Wuhan 410039,China [3]Information and Navigation School,Air Force Engineering University,Xi’an 710082,China

出　　处：《Chinese Journal of Aeronautics》2024年第10期393-409,共17页中国航空学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(No.62071482);Shaanxi Association of Science and Technology Youth Talent Support Program Project,China(No.20230137);the Innovative Talents Cultivate Program for Technology Innovation Team of ShaanXi Province,China(No.2024RS-CXTD-08);the Youth Talent Lifting Project of the China Association for Science and Technology(No.2021-JCJQ-QT-018).

摘　　要：The resource allocation technique is of great significance in achieving frequency spectrum coexistence in Joint Radar-Communication(JRC) systems, by which the problem of radio frequency spectrum congestion can be well alleviated. A Robust Joint Frequency Spectrum and Power Allocation(RJFSPA) strategy is proposed for the Coexisting Radar and Communication(CRC)system. Specifically, we consider the uncertainty of target Radar Cross Section(RCS) and communication channel gain to formulate a bi-objective optimization model. The joint probabilities that the Cramér-Rao Lower Bound(CRLB) of each target satisfying the localization accuracy threshold and the Communication Data Ratio(CDR) of each user satisfying the communication threshold are simultaneously maximized, under the constraint of the total power budget. A Three-Stage Alternating Optimization Method(TSAOM) is proposed to obtain the Best-Known Pareto Subset(BKPS) of this problem, where the frequency spectrum, radar power, and communicator power are allocated using the greedy search and standard convex optimization methods, respectively. Simulation results confirm the effectiveness of the proposed RJFSPA strategy, compared with the resource allocation methods in a uniform manner and that ignores the uncertainties. The efficiency of the TSAOM is also verified by the comparison with the exhaustive search-based method.

关 键 词：Radar and communication system Bi-objective optimization Resource allocation Cramér-Rao lower bound Communication data ratio 

分 类 号：E96[军事—军事通信学]