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LCMV Beamforming for DDMA MIMO Radar: Nulling with Steering Vector Transformation

Chen, Jiayi 1; Aliabadi, Reza; Long, Xueyun 1; Szabó, Áron 1; Choi, Jiyeon 1; Nuss, Benjamin ORCID iD icon 1; Zwick, Thomas 1
1 Institut für Hochfrequenztechnik und Elektronik (IHE), Karlsruher Institut für Technologie (KIT)

Abstract:

The linearly constrained minimum variance (LCMV) beamformer has been widely used in array signal processing for its high resolution and interference suppression capability. However, in Doppler-division multiple access (DDMA) MIMO radar, the coupling between target velocity and angle causes phase pollution in the virtual array, degrading direction-of-arrival (DOA) estimation accuracy. To address this problem, this paper proposes a modified LCMV beamforming method for DDMA radar. The proposed method introduces a Doppler-aware steering matrix transformation to suppress interference from strong targets. Simulation results demonstrate that the method effectively restores weak-target angular responses under single-snapshot conditions and maintains stable sidelobe suppression performance at low signal-to-noise ratios (SNRs).


Originalveröffentlichung
DOI: 10.1109/GeMiC71240.2026.11516333
Zugehörige Institution(en) am KIT Institut für Hochfrequenztechnik und Elektronik (IHE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 09.03.2026
Sprache Englisch
Identifikator ISBN: 979-8-3195-1955-9
KITopen-ID: 1000194422
Erschienen in 2026 17th German Microwave Conference (GeMiC)
Veranstaltung 17th German Microwave Conference (GeMiC 2026), Karlsruhe, Deutschland, 09.03.2026 – 11.03.2026
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 349 - 352
Externe Relationen Siehe auch
Schlagwörter Automotive radar, LCMV beamforming, DDMA, nulling, single snapshot, large-scale MIMO, sparse array
Nachgewiesen in Scopus
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