Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks
MIMO radar networks consisting of multiple independent radar sensors offer the possibility to create large virtual apertures and therefore provide high angular resolution for automotive radar systems. In order to increase the angular resolution, the network must be able to process all data phase coh...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Microwaves |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10352930/ |
| _version_ | 1797234423052107776 |
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| author | Vinzenz Janoudi Pirmin Schoeder Timo Grebner Nils Appenrodt Juergen Dickmann Christian Waldschmidt |
| author_facet | Vinzenz Janoudi Pirmin Schoeder Timo Grebner Nils Appenrodt Juergen Dickmann Christian Waldschmidt |
| author_sort | Vinzenz Janoudi |
| collection | DOAJ |
| description | MIMO radar networks consisting of multiple independent radar sensors offer the possibility to create large virtual apertures and therefore provide high angular resolution for automotive radar systems. In order to increase the angular resolution, the network must be able to process all data phase coherently. Establishing phase coherency, without distributing the transmitted RF signal to all sensors, poses a significant challenge in the automotive frequency range of <inline-formula><tex-math notation="LaTeX">$\text{76 GHz} \,\text{to}\, \text{81 GHz}$</tex-math></inline-formula>. This paper presents a signal model for uncoupled and low frequency coupled radar networks. The requirements for phase coherent processing for uncoupled radar sensors are systematically derived from the signal model. The proposed signal processing methods, which establish coherency, are sub-aperture based. Both the signal model and the proposed signal processing methods are verified by measurements with radar sensor networks composed of 2 and 3 radar sensors, providing 768 and 1728 virtual channels respectively. Measurements verify that phase noise is insignificant in the process of establishing coherency in uncoupled and low frequency coupled radar networks. |
| first_indexed | 2024-03-08T16:57:03Z |
| format | Article |
| id | doaj.art-9f853622c861419f96b98b8435b47434 |
| institution | Directory Open Access Journal |
| issn | 2692-8388 |
| language | English |
| last_indexed | 2024-04-24T16:31:49Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Microwaves |
| spelling | doaj.art-9f853622c861419f96b98b8435b474342024-03-29T23:00:56ZengIEEEIEEE Journal of Microwaves2692-83882024-01-0141698510.1109/JMW.2023.333475710352930Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar NetworksVinzenz Janoudi0https://orcid.org/0000-0002-1322-069XPirmin Schoeder1https://orcid.org/0000-0002-4114-9333Timo Grebner2https://orcid.org/0000-0001-6605-5811Nils Appenrodt3Juergen Dickmann4https://orcid.org/0000-0002-4328-3368Christian Waldschmidt5https://orcid.org/0000-0003-2090-6136Institute of Microwave Engineering, Ulm University, Ulm, GermanyInstitute of Microwave Engineering, Ulm University, Ulm, GermanyInstitute of Microwave Engineering, Ulm University, Ulm, GermanyRadar and Perception, Mercedes-Benz Group AG, Sindelfingen, GermanyRadar and Perception, Mercedes-Benz Group AG, Sindelfingen, GermanyInstitute of Microwave Engineering, Ulm University, Ulm, GermanyMIMO radar networks consisting of multiple independent radar sensors offer the possibility to create large virtual apertures and therefore provide high angular resolution for automotive radar systems. In order to increase the angular resolution, the network must be able to process all data phase coherently. Establishing phase coherency, without distributing the transmitted RF signal to all sensors, poses a significant challenge in the automotive frequency range of <inline-formula><tex-math notation="LaTeX">$\text{76 GHz} \,\text{to}\, \text{81 GHz}$</tex-math></inline-formula>. This paper presents a signal model for uncoupled and low frequency coupled radar networks. The requirements for phase coherent processing for uncoupled radar sensors are systematically derived from the signal model. The proposed signal processing methods, which establish coherency, are sub-aperture based. Both the signal model and the proposed signal processing methods are verified by measurements with radar sensor networks composed of 2 and 3 radar sensors, providing 768 and 1728 virtual channels respectively. Measurements verify that phase noise is insignificant in the process of establishing coherency in uncoupled and low frequency coupled radar networks.https://ieeexplore.ieee.org/document/10352930/Automotive radar networkssignal processingmultiple-input-multiple-output |
| spellingShingle | Vinzenz Janoudi Pirmin Schoeder Timo Grebner Nils Appenrodt Juergen Dickmann Christian Waldschmidt Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks IEEE Journal of Microwaves Automotive radar networks signal processing multiple-input-multiple-output |
| title | Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks |
| title_full | Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks |
| title_fullStr | Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks |
| title_full_unstemmed | Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks |
| title_short | Signal Model for Coherent Processing of Uncoupled and Low Frequency Coupled MIMO Radar Networks |
| title_sort | signal model for coherent processing of uncoupled and low frequency coupled mimo radar networks |
| topic | Automotive radar networks signal processing multiple-input-multiple-output |
| url | https://ieeexplore.ieee.org/document/10352930/ |
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