Experimental study of real-time human imaging using UWB Doppler radar interferometry

  title={Experimental study of real-time human imaging using UWB Doppler radar interferometry},
  author={K. Saho and Takuya Sakamoto and Toshihiko Satō and K. Inoue and Takeshi Fukuda},
  journal={2012 6th European Conference on Antennas and Propagation (EUCAP)},
  • K. Saho, T. Sakamoto, +2 authors T. Fukuda
  • Published 2012
  • Computer Science
  • 2012 6th European Conference on Antennas and Propagation (EUCAP)
This study presents an algorithm for imaging humans with Ultra Wide-Band (UWB) Doppler radar and experimental examples of its application. The proposed algorithm estimates the scattering centers using interferometry. Furthermore, we propose a false image rejection method with velocity information. Our experiments, which assume a pedestrian, show that the proposed algorithm is capable of imaging humans in a realistic environment. In addition, we discuss the real-time performance of the proposed… Expand
Imaging of pedestrians with UWB Doppler radar interferometry
This paper presents human imaging using ultrawideband (UWB) Doppler radar. Our proposed method estimates three-dimensional human images using interferometry and, from velocity information, rejects… Expand
Pedestrian classification based on radial velocity features of UWB Doppler radar images
This paper presents the imaging results on a variety of pedestrians using the UWB Doppler radar imaging method, and proposes their classification parameters based on a radial velocity feature of the estimated image, and experimentally verify that an effective classification for three types of pedestrians is achieved. Expand
Texture-based technique for separating echoes from people walking in UWB radar signals
This paper proposes a technique for separating two people walking using the texture of the time- range image and calculates the image flow angle that depends on the motion and velocity of the target. Expand
Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning
An image separation method for two closely spaced pedestrian targets using ultra-wide-band (UWB) Doppler imaging radar and a supervised learning-based separation method trained on a data set extracted using a range profile is proposed. Expand
Development and experimental evaluation of a 3D ultra-wideband localization system
  • A. Muqaibel
  • Computer Science
  • Turkish J. Electr. Eng. Comput. Sci.
  • 2017
An ultra-wideband (UWB) synthetic aperture radar system that can perform 3D localization of objects is implemented and is augmented with a graphical user interface that allows the user to change input parameters and display a 3D image of the target along with plots of frequency and time analysis at different antenna positions. Expand
Accurate and Real-Time Pedestrian Classification Based on UWB Doppler Radar Images and Their Radial Velocity Features
This paper proposes an accurate and real-time method for classifying the movements of pedestrians using ultra wide-band (UWB) Doppler radar to overcome problems with conventional methods. Expand
Texture-Based Automatic Separation of Echoes from Distributed Moving Targets in UWB Radar Signals
A novel algorithm is proposed for separating multiple moving targets in radar images in the slow time-range domain based on an image texture angle that is related to the target's instantaneous velocity. Expand
Title Texture-Based Automatic Separation of Echoes fromDistributed Moving Targets in UWB Radar Signals
A novel algorithm is proposed for separating multiple moving targets in radar images in the slow time-range domain. Target discrimination is based on an image texture angle that is related to the… Expand
B1. Scattering and Diffraction 1.1 Basic Electromagnetic Fields Analysis
This report presents a summary of Japanese contributions, including those of international collaborations, in the field related to URSI Commission B during the last three years. It is not intended to… Expand


Frontal imaging of human using three-element Doppler and direction-of-arrival radar
A two-dimensional Doppler and direction-of-arrival (DDOA) radar concept is proposed for the frontal imaging of humans. The system consists of a three-element receiver array configured to provide… Expand
Maximum likelihood and suboptimal schemes for micro-Doppler estimation using carrier diverse Doppler radars
The authors derive the maximum likelihood (ML) estimator for the micro-Doppler motion parameters from the dual-frequency radar returns, which is applied to both simulated and experimental radar returns for estimating the range and the motion parameters of indoor targets. Expand
Doppler and direction-of-arrival (DDOA) radar for multiple-mover sensing
  • A. Lin, H. Ling
  • Computer Science
  • IEEE Transactions on Aerospace and Electronic Systems
  • 2007
A low-cost two-element receiving array concept is investigated for detecting multiple moving targets in indoor surveillance applications using the use of only two elements in the receiver array. Expand
Three-dimensional tracking of humans using very low-complexity radar
A low-complexity radar for human tracking in three-dimensional space is reported. The system consists of a three-element receiving array and two continuous-wave (CW) frequencies configured to provide… Expand
Micro-Doppler Effect Analysis and Feature Extraction in ISAR Imaging With Stepped-Frequency Chirp Signals
The stepped-frequency chirp signal (SFCS) is used to synthesize the ultrabroad bandwidth and reduce the requirement of sample rates and the simulations validate the theoretical formulation and robustness of the proposed m-D extraction method. Expand
Automatic classification of radar targets with micro-motions using entropy segmentation and time-frequency features
Abstract Micro-Doppler (mD) signatures have great potential in the radar micro-dynamic target classification. An automatic classification method for radar targets with micro-motions is proposed based… Expand
A new approach for classification of human gait based on time-frequency feature representations
A new and simple technique for human gait classification based on the time-frequency analysis of radar data, which utilizes the arm positive and negative Doppler frequencies and their relative time of occurrence is introduced. Expand
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
The feasibility of classifying different human activities based on micro-Doppler signatures is investigated and the potentials of classify human activities over extended time duration, through wall, and at oblique angles with respect to the radar are investigated and discussed. Expand
The sliding DFT
The sliding DFT process for spectrum analysis was presented and shown to be more efficient than the popular Goertzel (1958) algorithm for sample-by-sample DFT bin computations and a modified slide DFT structure is proposed that provides improved computational efficiency. Expand
An update to the sliding DFT
Those properties allow us to create Table 1, listing the appropriate arctan approximation based on the octant location of complex x. So we have to check the signs of Q and I, and see if |Q | > |I |,… Expand