Estimation of Doppler Velocities from Sub-Nyquist Ultra-Wideband Radar Measurements

Sakamoto, Takuya; Matsuoka, Akihiko; Yomo, Hidekuni

doi:10.1109/jsen.2016.2615074

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…Furthermore, based on the texture method, we developed a sub-Nyquist velocity estimation method using ultra-wideband radar. With the proposed method, we succeeded in accurately estimating the velocity of a highspeed target that does not satisfy the Nyquist condition without suffering from aliasing [23]. In addition, we expanded the frequency domain interferometry method that separates multiple echoes in the frequency domain using the difference in the Doppler velocities, and realized high-resolution radar imaging in conjunction with adaptive array signal processing [24].…”

Section: B Ultra-wideband Radar and Texture Doppler Analysismentioning

confidence: 99%

Ultra-Wideband Radar and Wireless Human Sensing

Sakamoto

2020

Preprint

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This study presents the progress of our recent research regarding wireless measurements of the human body. First, we explain radar imaging algorithms for screening passengers at security checkpoints that can process data faster than existing algorithms to generate accurate and high-resolution images of human bodies. Second, we introduce signal processing techniques for accurately measuring radar micro-Doppler signals associated with human motions and activities. Finally, we present radar signal processing algorithms for measuring human respiration, heartbeat, and other types of motion. Such algorithms can be applied in various fields including healthcare, security, biometric identification, and man-machine interfaces. These fields have one thing in common: prior knowledge about the human shape, motion, and physiology are effectively exploited to improve performance by optimizing the radar systems and signal processing algorithms.

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Section: B Ultra-wideband Radar and Texture Doppler Analysismentioning

confidence: 99%

Ultra-Wideband Radar and Wireless Human Sensing

Sakamoto

2020

Preprint

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“…For moving targets, the current traditional velocity measurement technologies mainly include microwave radar technology [ 1 , 2 , 3 ], laser technology [ 4 , 5 , 6 ], ground-sensing technology [ 7 , 8 , 9 ], and video camera technology [ 10 , 11 , 12 , 13 , 14 ]. Microwave radar technology is mainly based on the Doppler effect, which is vulnerable to radio waves and has a low accuracy [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

A Velocity Measurement Method Based on Charge Induction

Chi

Fan

Wang

et al. 2023

Sensors

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In this paper, based on the principle of charge induction, a new velocity measurement method is proposed. A moving target generates a low-frequency electric field, which can be induced with an electrode and detection frontend. Velocity measurements are achieved by placing two electrodes at a fixed distance to detect the characteristic times. Firstly, the electric field generated by the moving target is modeled, and the theoretical output of the detection frontend is obtained via a simulation of the target passing by a single electrode. Then, according to the theoretical output, the velocity measurement simulation results of double electrodes are given for various driving conditions, such as a single vehicle driving in a single lane, a single vehicle changing lanes, two vehicles driving close together, and a multiple-vehicle situation. Finally, the above driving conditions are experimentally verified in sunny weather, windy and rainy weather, and a night environment.

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“…Usually they are treated as individual problems and are achieved based on location-related and velocity-related measurements, respectively. Specifically, the location-related measurements mainly include timeof-arrival (TOA), time-difference-of-arrival (TDOA), angle-of-arrival (AOA) and received signal strength (RSS) [3][4][5], while the velocity-related measurements can be obtained from Doppler shifts [6,7] or synthetic aperture radars (SARs) [8,9]. Significant progress has been made and quite a lot algorithms have been proposed in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…For example, regarding to target localization, least squares [10], Bayeisan inference [11], convex optimization [12] and iterative algorithms [13] have been proposed and a survey on localization techniques can be found in [14]. On the other hand, various velocity estimation algorithms based on Doppler shifts and/or SARs measurements have been reported in [6,7] and [8,9], respectively.…”

Section: Introductionmentioning

confidence: 99%

Secure Localization and Velocity Estimation in Mobile IoT Networks With Malicious Attacks

Li¹,

Ma²,

Yang

et al. 2021

IEEE Internet Things J.

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Secure localization and velocity estimation are of great importance in Internet of Things (IoT) applications and are particularly challenging in the presence of malicious attacks. The problem becomes even more challenging in practical scenarios in which attack information is unknown and anchor node location uncertainties occur due to node mobility and falsification of malicious nodes. This challenging problem is investigated in this paper. With reasonable assumptions on the attack model and uncertainties, the secure localization and velocity estimation problem is formulated as an intractable maximum a posterior (MAP) problem. A variational-message-passing (VMP) based algorithm is proposed to approximate the true posterior distribution iteratively and find the closed-form estimates of the location and velocity securely. The identification of malicious nodes is also achieved in the meantime. The convergence of the proposed VMP-based algorithm is also discussed. Numerical simulations are finally conducted and the results show the VMP-based joint localization and velocity estimation algorithm can approach the Bayesian Cramer Rao bound and is superior to other secure algorithms.

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Estimation of Doppler Velocities from Sub-Nyquist Ultra-Wideband Radar Measurements

Cited by 9 publications

References 19 publications

Ultra-Wideband Radar and Wireless Human Sensing

Ultra-Wideband Radar and Wireless Human Sensing

A Velocity Measurement Method Based on Charge Induction

Secure Localization and Velocity Estimation in Mobile IoT Networks With Malicious Attacks

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