Unimodular Sequence Set Design With Desired Multidimensional Properties for MIMO Radar

Yang, Chen; Yang, Wei; Qiu, Xiangfeng; Jiang, Weidong; Liu, Yongxiang; CHATZINOTAS, Symeon; Gini, Fulvio

doi:10.1109/TAES.2025.3582226

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Unimodular Sequence Set Design With Desired Multidimensional Properties for MIMO Radar

Yang, Chen; Yang, Wei; Qiu, Xiangfeng et al.

2025 • In IEEE Transactions on Aerospace and Electronic Systems, 61 (5), p. 14241 - 14261

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/66362

DOI
10.1109/TAES.2025.3582226

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Keywords :

Ambiguity function (AF); beampattern design; multiple-input–multiple-output (MIMO) radar; sequence set design; spectrum shaping; successive convex approximation (SCA); Ambiguity function; Beam pattern; Beampattern design; Dimensional properties; Multi dimensional; Sequence set; Sequence set design; Set design; Spectrum shaping; Successive convex approximations; Aerospace Engineering; Electrical and Electronic Engineering; Frequency-domain analysis; Clutter; MIMO radar; Optimization; Iterative methods; Design methodology; Aerospace and electronic systems; Vectors; Signal to noise ratio; Sensors

Abstract :

[en] Designing a transmit sequence set with desired multidimensional properties can enhance target sensing performance but increases the complexity of problem. In this article, we focus on a designing transmit sequence set in multiple-input–multiple-output radar to obtain desired properties in multiple dimensions. Specifically, a multiconstrained optimization model is formulated, which takes into account the performance in the range-Doppler, spatial, and frequency dimensions. In order to solve the high-order, fractional, and nonconvex resulting problem, an algorithm based on successive convex approximation (SCA) is proposed, in which each iteration contains semidefinite programming and eigenvalue decomposition. To expedite the iterative convergence, an SCA-acceleration strategy is introduced, which utilizes the square accelerated iteration method in multiconstrained conditions. Finally, numerical experiments validate the superiority of the proposed algorithm over State-of-the-Art methods. Simultaneously, multidimensional joint shaping experiments are conducted to investigate the tradeoff between the sidelobe performance of the ambiguity function and the beampattern.

Disciplines :

Computer science

Author, co-author :

Yang, Chen ; National University of Defense Technology, College of Electronic Science and Technology, Changsha, China

Yang, Wei ; National University of Defense Technology, College of Electronic Science and Technology, Changsha, China

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

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

Liu, Yongxiang ; National University of Defense Technology, 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, Department of Electronic Engineering, Yongin-si, South Korea

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

External co-authors :

yes

Language :

English

Title :

Unimodular Sequence Set Design With Desired Multidimensional Properties for MIMO Radar

Publication date :

03 July 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 :

14241 - 14261

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx8/7/11202402/11068937.pdf?arnumber=11068937

Funders :

National Natural Science Foundation of China
Science Fund for Distinguished Young Scholars of Hunan Province
Science and Technology Innovation Program of Hunan Province

Funding text :

This work was supported in part by the National Natural Science Foundation of China under Grant 61871384, in part by the Science Fund for Distinguished Young Scholars of Hunan Province under Grant 2024JJ2066, and in part by the Science and Technology Innovation Program of Hunan Province under Grant 2022RC1092.

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