RPM and Doppler‐based multi‐path exploitation method for UWB TWR

Setsu, Masafumi; Kidera, Shouhei

doi:10.1049/iet-rsn.2018.5182

Cited by 1 publication

(2 citation statements)

References 22 publications

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“…Step (5) For each subset of range-τ as Q ðNÞ I , the RPM determines its associated scattering centre as b p ðNÞ ðq i;j Þ shown in Equation (6). The scattering centres with a significantly lower evaluation value, the right side of Equation ( 6), are eliminated, and their associated range-τ points are also deleted from the previous set.…”

Section: Bi-directional Data Processing With Rpm and Wkdmentioning

confidence: 99%

“…Microwave or millimetre wave radar has a significant advantage such as non-line-of-sight imaging [1,2] or human body recognition applications in the through-the-wall situation [3][4][5][6]. Many studies ( [7][8][9][10][11][12][13][14][15][16][17]) have focussed on micro-Doppler analysis because of the micro-Doppler signatures developed using the various motions of the human body (such as arms, legs, torso and head).…”

Section: Introductionmentioning

confidence: 99%

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Three‐dimensional Doppler‐associated radar imaging method based on bi‐directional data processing

Hayashi

Ando

Kidera

2021

IET Radar Sonar & Navi

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Using a microwave or millimetre wave radar system, this study aims to achieve highly accurate Doppler velocity estimation and radar imaging that would be suitable for various remote-sensing sensors, such as self-driving, surveillance, or security applications. In particular, micro-Doppler signatures are one of the most promising approaches for human recognition; however, the traditional limitations of both velocity and temporal resolution need to be addressed. The weighted kernel density (WKD) algorithm using super-resolution Doppler velocity estimation has been one solution. Using WKD, this study incorporates the range points migration (RPM) method of radar imaging to enhance accuracy in both Doppler velocity and radar imaging using an iterative data selection scheme. Furthermore, to obtain more informative Doppler-associated RPMbased images using less data by exploiting a unique feature of WKD and RPM methods, this study introduces the image integration approach along the slow-time profile. In this framework, bi-directional data processing between Doppler velocity and imaging analysis is achieved. At each pulse hit sequence, both numerical and experimental tests demonstrate that the proposed method yields a more accurate Doppler-associated radar image compared with the methods in previous studies.

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Section: Bi-directional Data Processing With Rpm and Wkdmentioning

confidence: 99%