Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar
Tianqu Liu,
Jinping Sun,
Guohua Wang,
Xianxun Yao () and
Yaqiong Qiao
Additional contact information
Tianqu Liu: School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Jinping Sun: School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Guohua Wang: Hertzwell Pte Ltd., Singapore 138565, Singapore
Xianxun Yao: School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Yaqiong Qiao: School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Mathematics, 2024, vol. 12, issue 6, 1-15
Abstract:
Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat DRFM-based jamming, where any two groups of waveform sets are also orthogonal. In this article, a group orthogonal waveform optimal design model is formulated in order to combat DRFM-based jamming by flexibly designing waveforms for MIMO radars. Aiming at balancing the intra- and intergroup orthogonal performances, the objective function is defined as the weighted sum of the intra- and intergroup orthogonal performance metrics. To solve the formulated model, in this article, a group orthogonal waveform design algorithm is proposed. Based on a primal-dual-type method and proper relaxations, the proposed algorithm transforms the original problem into a series of simple subproblems. Numerical results demonstrate that the obtained group orthogonal waveforms have the ability to flexibly suppress DRFM-based deceptive jamming, which is not achievable using p -majorization–minimization ( p -MM) and primal-dual, two of the most advanced orthogonal waveform design algorithms.
Keywords: waveform design; optimization; MIMO radar; group orthogonal; phase-coded; radar countermeasures (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/12/6/903/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/6/903/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:6:p:903-:d:1359738
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().