High-Density MIMO Localization Using a 32x64 Ultrasonic Transducer-Microphone Array with Real-Time Data Streaming
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918133620539392 |
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| author | Baeyens, Rens Laurijssen, Dennis Steckel, Jan Daems, Walter |
| author_facet | Baeyens, Rens Laurijssen, Dennis Steckel, Jan Daems, Walter |
| contents | In this work, we present a novel ultrasonic array system designed for high-precision localization using a large-scale MIMO (Multiple-Input Multiple-Output) architecture. The system combines 32 transmitters with 62 microphones, creating an extended virtual aperture that improves channel separability and spatial resolution. Each transmitter is excited by a random-phase multisine within the ultrasonic band, which reduces inter-channel correlation and increases robustness against multipath. The feasibility of the approach is demonstrated through simulations of reflector imaging and analysis of channel separation under realistic transducer bandwidth constraints. Results show that MIMO processing enables improved separation of reflectors compared to single-emitter configurations, although practical limitations such as transducer bandwidth reduce the achievable channel isolation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_01210 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High-Density MIMO Localization Using a 32x64 Ultrasonic Transducer-Microphone Array with Real-Time Data Streaming Baeyens, Rens Laurijssen, Dennis Steckel, Jan Daems, Walter Signal Processing Audio and Speech Processing In this work, we present a novel ultrasonic array system designed for high-precision localization using a large-scale MIMO (Multiple-Input Multiple-Output) architecture. The system combines 32 transmitters with 62 microphones, creating an extended virtual aperture that improves channel separability and spatial resolution. Each transmitter is excited by a random-phase multisine within the ultrasonic band, which reduces inter-channel correlation and increases robustness against multipath. The feasibility of the approach is demonstrated through simulations of reflector imaging and analysis of channel separation under realistic transducer bandwidth constraints. Results show that MIMO processing enables improved separation of reflectors compared to single-emitter configurations, although practical limitations such as transducer bandwidth reduce the achievable channel isolation. |
| title | High-Density MIMO Localization Using a 32x64 Ultrasonic Transducer-Microphone Array with Real-Time Data Streaming |
| topic | Signal Processing Audio and Speech Processing |
| url | https://arxiv.org/abs/2509.01210 |