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<p>While millimeter wave (mmWave) multiple input multiple output (MIMO) radars are increasingly popular for their compact size and resilience to varying lighting conditions, their limited field of view (FOV) restricts their coverage. This limitation can be overcome by employing a multisensor network that utilizes multiple mmWave MIMO radars to expand surveillance coverage. Although several detection methods have been proposed for distributed mmWave radar networks, a unified tracking solution for continuous-time monitoring has not been fully explored. To address this gap, this paper introduces a novel tracking framework for mmWave MIMO radar networks, specifically designed to overcome the limitations of single-sensor systems in indoor environments. The paper presents a customized multi-target tracking (MTT) scheme that tackles artifacts in the detection scheme such as false alarms and missed detections that are caused by limited FOV of individual sensors. The proposed MTT scheme processes data from a newly developed detector that integrates measurements from multiple radars. The computational complexity of the proposed MTT scheme is derived. The effectiveness of the proposed tracking approach is validated through extensive computer simulations, focusing on metrics such as root mean square error and the number of maintained target tracks. The performance of the proposed approach has exceeded the classical approach with a significant improvement in the context of targets’ detection and tracking. Furthermore, with the study presented, the article concludes that the optimal performance of the MTT is obtained if the detector produces detections with a probability of false alarm <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(P_{fa} \le 10^{-5}\)</EquationSource> </InlineEquation>.</p>

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Tracking Scheme for Monitoring Indoor Scene using Distributed mmWave MIMO Radar Sensors

  • 期刊论文

  • 发表日期：

    2025年11月19日

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  • Uday Kumar Singh,
  • Moein Ahmadi,
  • Rangeet Mitra,
  • K Venkateswaran,
  • Rama Rao Thipparaju

摘要

While millimeter wave (mmWave) multiple input multiple output (MIMO) radars are increasingly popular for their compact size and resilience to varying lighting conditions, their limited field of view (FOV) restricts their coverage. This limitation can be overcome by employing a multisensor network that utilizes multiple mmWave MIMO radars to expand surveillance coverage. Although several detection methods have been proposed for distributed mmWave radar networks, a unified tracking solution for continuous-time monitoring has not been fully explored. To address this gap, this paper introduces a novel tracking framework for mmWave MIMO radar networks, specifically designed to overcome the limitations of single-sensor systems in indoor environments. The paper presents a customized multi-target tracking (MTT) scheme that tackles artifacts in the detection scheme such as false alarms and missed detections that are caused by limited FOV of individual sensors. The proposed MTT scheme processes data from a newly developed detector that integrates measurements from multiple radars. The computational complexity of the proposed MTT scheme is derived. The effectiveness of the proposed tracking approach is validated through extensive computer simulations, focusing on metrics such as root mean square error and the number of maintained target tracks. The performance of the proposed approach has exceeded the classical approach with a significant improvement in the context of targets’ detection and tracking. Furthermore, with the study presented, the article concludes that the optimal performance of the MTT is obtained if the detector produces detections with a probability of false alarm \(P_{fa} \le 10^{-5}\) .