Design of Complementary PCFM Waveform Set for Smearing Spectrum Jamming Suppression in MIMO Radar Systems

Qiu, Xiangfeng; Jiang, Weidong; Zhang, Xinyu; Liu, Yongxiang; CHATZINOTAS, Symeon; Greco, Maria Sabrina; Gini, Fulvio

doi:10.1109/TAES.2025.3560612

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Design of Complementary PCFM Waveform Set for Smearing Spectrum Jamming Suppression in MIMO Radar Systems

Qiu, Xiangfeng; Jiang, Weidong; Zhang, Xinyu et al.

2025 • In IEEE Transactions on Aerospace and Electronic Systems, 61 (4), p. 10149 - 10168

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/66309

DOI
10.1109/TAES.2025.3560612

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Keywords :

Complementary waveform; gradient descent; jamming suppression; phase-coded frequency-modulated (PCFM) waveform; smeared spectrum (SMSP); waveform design; Frequency modulated; Gradient-descent; Jamming suppression; Modulated waveforms; Phasecoded frequency-modulated waveform; Smeared spectrum; Spectra's; Waveform designs; Waveforms; Aerospace Engineering; Electrical and Electronic Engineering

Abstract :

[en] The smeared spectrum (SMSP) jamming technique generates dense comb-shaped false targets at the receiver, making it difficult to detect the target of interest. Waveform design introduces greater flexibility at the transmitter, offering the potential for active antijamming strategies. This article investigates countermeasures to SMSP jamming in multiple-input–multiple-output radar systems by designing phase-coded frequency-modulated (PCFM) waveforms. Moreover, the complementary PCFM waveform design scheme is considered to further expand the design freedom, utilizing the coherence between multiple pulses to achieve improved performance. Specifically, we first formulate the complementary waveform design as a multiobjective optimization problem, by unifing the SMSP jamming levels, the waveform sidelobes, and the waveform orthogonality after the matched filter processing at the receiver into a set of fractional terms. Subsequently, the optimal complementary PCFM waveforms are obtained by employing the iterative algorithm based on the approximated Hessian matrix of the objective functions. Numerical simulations are conducted to demonstrate that the designed complementary PCFM waveforms significantly improve SMSP jamming suppression and enhance target detection performance.

Disciplines :

Computer science

Author, co-author :

Qiu, Xiangfeng ; National University of Defense Technology (NUDT), College of Electronic Science and Technology, Changsha, China

Jiang, Weidong ; National University of Defense Technology (NUDT), College of Electronic Science and Technology, Changsha, China

Zhang, Xinyu ; National University of Defense Technology (NUDT), College of Electronic Science and Technology, Changsha, China

Liu, Yongxiang ; National University of Defense Technology (NUDT), College of Electronic Science and Technology, Changsha, China

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; Kyung Hee University, Yongin-si, South Korea

Greco, Maria Sabrina ; University of Pisa, Department of Information Engineering, Pisa, Italy

Gini, Fulvio ; University of Pisa, Department of Information Engineering, Pisa, Italy

External co-authors :

yes

Language :

English

Title :

Design of Complementary PCFM Waveform Set for Smearing Spectrum Jamming Suppression in MIMO Radar Systems

Publication date :

14 April 2025

Journal title :

IEEE Transactions on Aerospace and Electronic Systems

ISSN :

0018-9251

eISSN :

1557-9603

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

10149 - 10168

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx8/7/11122308/10964560.pdf?arnumber=10964560

Funders :

National Natural Science Foundation of China
Graduate Innovation Capacity Enhancement Program
Italian Ministry of Education and Research
Università di Pisa

Funding text :

The work of X. Qiu was supported in part by the China Scholarship Council, in part by the National Natural Science Foundation of China under Grant 62022091 and Grant 61921001, and in part by the Graduate Innovation Capacity Enhancement Program under Grant ZC41370323108. The work of F. Gini and M.S. Greco was supported in part by the Italian Ministry of Education and Research (MUR) in the framework of the FoReLab project (Departments of Excellence) and in part by the University of Pisa under Grant PRA 2022 91 INTERCONNECT.

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