Evaluation of fast human localization and tracking using MIMO radar in multi-path environment

Sasakawa, Dai; Honma, Naoki; Nishimori, Kentaro; Nakayama, Tomohiro; Iizuka, Satoshi

doi:10.1109/pimrc.2016.7794745

Cited by 15 publications

(4 citation statements)

References 5 publications

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“…For device positioning, individuals need to wear RF signal transmitting devices, such as mobile phones, smart bracelets, etc. The equipment free positioning technology [10,17,27,9,5] does not need to wear equipment on the body. It uses the reflected RF signal of the human body to track the human body positioning.…”

Section: Rf Application 41 Indoor Positioningmentioning

confidence: 99%

A Survey about application based on RF signals

Xiao¹

2022

Preprint

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With the popularity of commercial wireless devices, the research based on RF signal has developed rapidly in the past decade. RF signals have great advantages in environmental perception. Wireless signals are transmitted through the transmitter. With the propagation of these signals in the medium, they are reflected from different objects and people in space to the receiver. In this process, rich environmental perception information is carried. These ubiquitous perceptual information has rich application significance and bright prospects in the fields of indoor positioning, motion perception, behavior recognition, human-computer interaction, fall detection, health monitoring, smart home, search and rescue and so on. This paper will discuss and analyze the current research results by combing some existing literature and the research status of relevant researchers in relevant fields at this stage, so as to understand the future development trend of RF signal based applications.Preprint. Under review.

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Section: Rf Application 41 Indoor Positioningmentioning

confidence: 99%

A Survey about application based on RF signals

Xiao¹

2022

Preprint

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“…Two important disadvantages of these radar-like systems are the high cost of the specialized hardware and their accuracy-related problems at large distances [18], however. Another reflection-based technique is MIMO-radar, which has attracted investigative interest for human localization in complex indoor environments [19,20,21].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization

Denis

Berkvens

Weyn

2019

Sensors

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The requirement of active localization techniques to attach a hardware device to the targets that need to be located can be difficult or even impossible for certain applications. For this reason, there has been an increasing interest in tagless or device-free localization (DFL) approaches. In particular, the research domain of RF-based device-free localization has been steadily evolving since its inception slightly over a decade ago. Many novel techniques have been developed regarding the three core aspects of DFL: detection, tracking, and identification. The increasing use of channel state information (CSI) has contributed considerably to these developments. In particular, the progress it enabled regarding the exceptionally difficult ‘identification problem’ has been highly impressive. In this survey, we provide a comprehensive overview of this evolutionary process, describe essential DFL concepts and highlight several key techniques whose creation marked important milestones within this field of research. We do so in a structured manner in which each technique is categorized according to the DFL core aspect it emphasizes most. Additionally, we discuss current blocking issues within the state-of-the-art and suggest multiple high-level research directions which will aid in the search towards eventual solutions.

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“…If the reflection paths can be accurately detected or estimated in a stable and simple environment, one can reconstruct the sparse targets and effectively suppress the discrete ''ghost'' targets [4]- [10]. Another method of resolving such issues involves using massive multiple input and multiple output (MIMO) antenna arrays [11]- [13] that cannot be installed on satellites. However, the unpredictable variations in the sea surface result in irregular distance changes over time.…”

Section: Introductionmentioning

confidence: 99%

Multipath Smearing Suppression for Synthetic Aperture Radar Images of Harbor Scenes

et al. 2019

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Due to the periodic and non-periodic variations in the sea surface, smearing is caused by the multiple paths between the sea surface and man-made objects in synthetic aperture radar images of harbor areas. This smearing can cover real targets and lead to false alarms. To derive the relationship between the motion of the sea surface and blurring in synthetic aperture radar images, a sway signal model is established, and the Doppler spectrum of the sea surface is found to undulate for well-focused targets with different shapes. Based on this finding, a subaperture combined detection algorithm based on an inverse coherence factor filter is developed to separate the unwanted pixels from the resultant synthetic aperture radar image. An energy balance is used to suppress interference and maintain the resolution of the real scene. The algorithm can be automatically applied to synthetic aperture radar images. The experimental results with TerraSAR-X spotlight mode data show that this method can effectively detect and mitigate the effects of the time-varying multipath phenomena.

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Evaluation of fast human localization and tracking using MIMO radar in multi-path environment

Cited by 15 publications

References 5 publications

A Survey about application based on RF signals

A Survey about application based on RF signals

A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization

Multipath Smearing Suppression for Synthetic Aperture Radar Images of Harbor Scenes

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