A Real-time Respiration Monitoring System Using WiFi-Based Radar Model

Xie, Wangdong; Gan, Liangyu; Shi, Chunqi; Wu, Justin Che Yuen; Lee, Yuehting; Chen, Jinghong; Zhang, Runxi

doi:10.1109/iscas48785.2022.9937494

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…In 2017, Colone et al applied the WiFi passive radar system to the detection and monitoring of targets such as aircraft and vehicles at small airports, proving the potential of the system in such scenarios [3]. In terms of human perception, Xie et al proposed a respiratory rate monitoring system based on WiFi signals, verifying the ability of passive radar based on WiFi [5]. These studies reveal the potential of passive radar for short-range applications and also provide different signal-processing methods.…”

Section: Related Workmentioning

confidence: 99%

“…Although they have low power, they are widely present in the environment and have a large signal bandwidth, making them suitable for short-range detection. Therefore, these signals are applied to passive radar systems for target detection in different scenarios [1][2][3][4][5]. Additionally, the bandwidth and carrier frequency of communication signals are gradually increasing, which will improve the detection performance of passive radar, indicating the direction for its development.…”

Section: Introductionmentioning

confidence: 99%

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Rotating Target Detection Using Commercial 5G Signal

Chen,

Tian,

Bai

et al. 2024

Applied Sciences

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Passive radar detection emerges as a pivotal method for environmental perception and target detection within radar applications. Through leveraging its advantages, including minimal electromagnetic pollution and efficient spectrum utilization, passive radar methodologies have garnered increasing interest. In recent years, there has been an increasing selection of passive radar signal sources, and the emerging 5G has the characteristics of a high-frequency band, high bandwidth, and a large number of base stations, which give it significant advantages for use in passive radar. Therefore, in this paper, we introduce a passive radar target detection method based on 5G signals and design a rotating target speed measurement experiment. In the experiment, this paper validated the method of detecting rotating targets using 5G signals and evaluated the measurement accuracy, providing a research foundation for passive radar target detection using 5G signals and detecting rotating targets such as drone rotors.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rotating Target Detection Using Commercial 5G Signal

Chen,

Tian,

Bai

et al. 2024

Applied Sciences

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“…The feasibility of using orthogonal frequency division multiplexing(OFDM) signals, e.g., long term evolution(LTE) signals, for target detection has been explored [3]. Xie et al conducted research on the technology of using WiFi signals for respiratory rate monitoring [4]. With the development of 5G, scholars have also conducted research on methods for target localization using 5G signals [5].…”

Section: Introductionmentioning

confidence: 99%

Rotating Target Detection Using Commercial 5G Signal

Chen,

Tian,

Bai

et al. 2024

Preprint

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Passive radar detection emerges as a pivotal method for environmental perception and target de-tection within radar applications. Leveraging its advantages, including minimal electromagnetic pollution and efficient spectrum utilization, passive radar methodologies have garnered increasing interest. In recent years, there has been an increasing selection of passive radar signal sources, and the emerging 5G has the characteristics of high frequency band, high bandwidth, and a large number of base stations, which make it have significant advantages in passive radar. Therefore, this paper introduces a passive radar target detection method based on 5G signals and designs a rotating target speed measurement experiment. In the experiment, this paper validated the method of de-tecting rotating targets using 5G signals and evaluated the measurement accuracy, providing a research foundation for passive radar target detection using 5G signals and detecting rotating targets such as drone rotors.

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“…As a result, the resolution for sensing is limited. To assess the benefits of the proposed method, we performed a comprehensive analysis of recent studies in the field [26][27][28][29] and compared the key aspects of different approaches.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Indoor Sensing Using Channel State Information of WiFi Networks

Zhou,

Zhang,

Temiz

2023

Electronics

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Indoor sensing is becoming increasingly important over time as it can be effectively utilized in many applications from digital health care systems to indoor safety and security systems. In particular, implementing sensing operations using existing infrastructures improves our experience and well-being, and exhibits unique advantages. The physical layer channel state information for wireless fidelity (WiFi) communications carries rich information about scatters in the propagation environment; hence, we exploited this information to enable detailed recognition of human behaviours in this study. Comprehensive calibration and filtering techniques were developed to alleviate the redundant responses embedded in the channel state information (CSI) data due to static objects and accidental events. Accurate information on breathing rate, heartbeat and angle of arrival of the incoming signal at the receiver side was inferred from the available CSI data. The method and procedure developed can be extended for sensing or imaging the environment utilizing wireless communication networks.

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A Real-time Respiration Monitoring System Using WiFi-Based Radar Model

Cited by 3 publications

References 16 publications

Rotating Target Detection Using Commercial 5G Signal

Rotating Target Detection Using Commercial 5G Signal

Rotating Target Detection Using Commercial 5G Signal

High-Resolution Indoor Sensing Using Channel State Information of WiFi Networks

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