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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2400285


Robust wideband waveform design with constant modulus and discrete phase constraints for distributed precision jamming


Author(s):  Qingsong ZHOU, Jialong QIAN, Zhongping YANG, Chao HUANG, Qinxian CHEN, Yibo XU, Zhengkai WEI

Affiliation(s):  College of Electronic Engineering, National University of Defense Technology, Hefei 230037 China

Corresponding email(s):   yangzhongping14@nudt.edu.cn

Key Words:  Wideband waveform design, Constant modulus, Discrete phase, Riemannian conjugate gradient, Distributed precision jamming


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Qingsong ZHOU, Jialong QIAN, Zhongping YANG, Chao HUANG, Qinxian CHEN, Yibo XU, Zhengkai WEI. Robust wideband waveform design with constant modulus and discrete phase constraints for distributed precision jamming[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2400285"
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Abstract: 
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 are considered in the objective function, and the CM discrete phase constraints are attached to design the wideband waveform. Specifically, the resultant mathematical model is a large-scale minimax multiobjective 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.

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