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Ultra-wideband (UWB) radar imaging has attracted attention for use in security and intelligent transportation system (ITS) applications. Conventional UWB Doppler interferometry is an effective way to obtain high-resolution images while using a simple radar system. However, this method produces ghost images when multiple closely-spaced human targets are present. To resolve this problem, we propose...
Imaging of the human body using ultrawideband (UWB) radar for security applications has numerous advantages over other approaches. Recently, low-cost radar systems have been intensively studied for this purpose, employing Doppler interferometry technology to image a single human target. The technique, however, has limitations when there is more than one target person in the scene. To resolve this...
140 GHz ultra-wideband millimeter wave radars significantly expand the capacities of three-dimensional (3-D) imaging sensors, making them suitable for short-range surveillance or security purposes. For such applications, we have already developed the range points migration (RPM) method, which achieves highly accurate 3-D boundary extraction. However, to deal with multiple targets with many reflection...
This paper analyzes the performance of a fixed-gain position-velocity-measured moving object tracker, called an α-β-η-θ filter. Analytical steady-state errors for constant velocity/acceleration targets are derived as performance indices, and these are used to calculate the optimal gains. Numerical analyses and simulations clarify the effectiveness of the α-β-η-θ filter compared with a traditional...
This paper presents human imaging using ultra-wideband (UWB) Doppler radar. Our proposed method estimates three-dimensional human images using interferometry and, from velocity information, rejects false images created by the interference of body parts. Experiments show that our proposed method achieves high-resolution imaging of a variety of pedestrians in a realistic situation, and their motion...
Imaging and identification of people using low-complexity radar is a promising technique for surveillance systems. Many studies have been conducted on the development of target identification methods using time-frequency micro-Doppler signatures [1]–[4]. These conventional methods can realize classification of motion types such as running, sitting, walking and walking without arm-motion. However,...
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