Distributed Network mmWave Radar System

In today’s automotive landscape, vehicles are being equipped with more cutting-edge technology than ever before to ensure passenger safety. Millimeter wave (mmWave) radar enables detection through weather conditions like rain, snow, and fog. Although radar is effective in adverse weather conditions, it struggles to distinguish objects when direct line of sight is impaired in dense, cluttered environments. To this end, an individual sensor can be integrated into a distributed network to boost its robustness and versatility. To demonstrate the viability and power of using several multiple-input, multiple-output (MIMO) radar nodes to survey an environment, we propose a distributed network consisting of two MIMO radar nodes communicating with an external server to perform single-object tracking within a confined space. Each radar node collects information about the object and sends data via shared Wi-Fi connection to our server which employs localization algorithms and visualization programs to display the object’s position in real-time.

Publication Details

Journal
UA Campus Repository (The University of Arizona)
Published
2024-10-01
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
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article

Distributed Network mmWave Radar System

UA Campus Repository (The University of Arizona)
Gene expression and cancer classification
article

Distributed Network mmWave Radar System

article en

Abstract

In today’s automotive landscape, vehicles are being equipped with more cutting-edge technology than ever before to ensure passenger safety. Millimeter wave (mmWave) radar enables detection through weather conditions like rain, snow, and fog. Although radar is effective in adverse weather conditions, it struggles to distinguish objects when direct line of sight is impaired in dense, cluttered environments. To this end, an individual sensor can be integrated into a distributed network to boost its robustness and versatility. To demonstrate the viability and power of using several multiple-input, multiple-output (MIMO) radar nodes to survey an environment, we propose a distributed network consisting of two MIMO radar nodes communicating with an external server to perform single-object tracking within a confined space. Each radar node collects information about the object and sends data via shared Wi-Fi connection to our server which employs localization algorithms and visualization programs to display the object’s position in real-time.

UA Campus Repository (The University of Arizona)
Sustainable cities and communities
Openalex Percentile: Top 51%
Gene expression and cancer classification
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