用32×62超声阵列实现高精度定位，提升反射体分辨能力。
High-Density MIMO Localization Using a 32x64 Ultrasonic Transducer-Microphone Array with Real-Time Data Streaming
- 采用32发射62接收的MIMO架构，扩展虚拟孔径增强空间分辨
- 多频正弦随机相位激励使反射体分离效果优于单发射配置
- 适用于需要高精度实时定位的工业或医疗场景
本文提出一种新型超声阵列系统，用于高精度定位，采用大规模MIMO（Multiple-Input Multiple-Output）架构。系统集成32个发射器与62个麦克风，通过扩展虚拟孔径提升信道可分性和空间分辨率。每个发射器在超声频段内以随机相位多正弦信号激发，降低信道间相关性，并增强抗多径能力。通过反射体成像仿真及在真实换能器带宽限制下的信道分离分析，验证了该方法可行性。结果表明，相较于单发射配置，MIMO处理显著提升了反射体分离性能，但换能器带宽限制仍影响实际信道隔离度。
原文摘要 · Abstract (English)
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.
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