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作 者:Qingsong ZHOU Jialong QIAN Zhongping YANG Chao HUANG Qinxian CHEN Yibo XU Zhengkai WEI
机构地区:[1]College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China
出 处:《Frontiers of Information Technology & Electronic Engineering》2025年第1期119-133,共15页信息与电子工程前沿(英文版)
基 金:supported by the National Natural Science Foundation of China(No.62301581);the Postgraduate Scientific Research Innovation Project of Hunan Province,China(No.CX20230045)。
摘 要:Distributed precision jamming(DPJ)is a novel blanket jamming concept in electronic warfare,which delivers the jamming resource to the opponent equipment precisely and ensures that friendly devices are not affected.Robust jamming performance and low hardware burden on the jammers are crucial for practical DPJ implementation.To achieve these goals,we study the robust design of wideband constant modulus(CM)discrete phase waveform for DPJ,where the worst-case combined power spectrum(CPS)of both the opponent and friendly devices is considered in the objective function,and the CM discrete phase constraints are used to design the wideband waveform.Specifically,the resultant mathematical model is a large-scale minimax multi-objective optimization problem(MOP)with CM and discrete phase constraints.To tackle the challenging MOP,we transform it into a single-objective minimization problem using the Lp-norm and Pareto framework.For the approximation problem,we propose the Riemannian conjugate gradient for CM discrete phase constraints(RCG-CMDPC)algorithm with low computational complexity,which leverages the complex circle manifold and a projection method to satisfy the CM discrete phase constraints within the RCG framework.Numerical examples demonstrate the superior robust DPJ effectiveness and computational efficiency compared to other competing algorithms.
关 键 词:Wideband waveform design Constant modulus(CM) Discrete phase Riemannian conjugate gradient(RCG) Distributed precision jamming(DPJ)
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