A 26GHz Short-Range UWB Vehicular-Radar Using 2.5Gcps Spread Spectrum Modulation

Fukuda, Takahiro; Negoro, Noboru; Ujita, Shinji; Nagai, Shigekazu; Nishijima, Michiharu; Sakai, Hiroyuki; Tanaka, Tsuyoshi; Ueda, Daisuke

doi:10.1109/mwsym.2007.380435

Cited by 20 publications

(8 citation statements)

References 3 publications

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“…The positions of the transmitting antenna and Receivers 1, 2, and 3 are expressed as (x, sitions and imaging results are acquired by the superposition of a result at each position z c . The transmitting signal is a continuous wave (CW) signal with a frequency of f 0 modulated by an m-sequence of chip width t C , giving a range resolution of ΔR = ct C /2 [24], [25], where c is the speed of light. The received signal waveform s ik (t) in range k using receiver i is acquired by taking a cross-correlation of the raw received signal with the time-shifted m-sequence [24].…”

Section: Introductionmentioning

confidence: 99%

Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning

Saho

Homma

Sakamoto

et al. 2014

IEICE Trans. Commun.

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Recent studies have focused on developing security systems using micro-Doppler radars to detect human bodies. However, the resolution of these conventional methods is unsuitable for identifying bodies and moreover, most of these conventional methods were designed for a solitary or sufficiently well-spaced targets. This paper proposes a solution to these problems with an image separation method for two closely spaced pedestrian targets. The proposed method first develops an image of the targets using ultra-wide-band (UWB) Doppler imaging radar. Next, the targets in the image are separated using a supervised learning-based separation method trained on a data set extracted using a range profile. We experimentally evaluated the performance of the image separation using some representative supervised separation methods and selected the most appropriate method. Finally, we reject false points caused by target interference based on the separation result. The experiment, assuming two pedestrians with a body separation of 0.44 m, shows that our method accurately separates their images using a UWB Doppler radar with a nominal down-range resolution of 0.3 m. We describe applications using various target positions, establish the performance, and derive optimal settings for our method.

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Section: Introductionmentioning

confidence: 99%

Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning

Saho

Homma

Sakamoto

et al. 2014

IEICE Trans. Commun.

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“…A transmitting antenna Tx and receiving antennas Rx 1 , 2 , and 3 are set up on the y = 0 plane. The positions of antennas Tx, Rx 1 , Rx 2 , and Rx 3 are expressed as (x, z) The transmitting signal is a continuous wave (CW) signal with a frequency of f 0 modulated with an m-sequence of chip width t C , which gives a range resolution of ΔR = ct C /2 [19], [20], where c is the speed of light. The radar repeats transmissions with an inter-pulse period of T s .…”

Section: Introductionmentioning

confidence: 99%

Accurate and Real-Time Pedestrian Classification Based on UWB Doppler Radar Images and Their Radial Velocity Features

Saho

Sakamoto

Sato

et al. 2013

IEICE Trans. Commun.

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The classification of human motion is an important aspect of monitoring pedestrian traffic. This requires the development of advanced surveillance and monitoring systems. Methods to achieve this have been proposed using micro-Doppler radars. However, reliable long-term data and/or complicated procedures are needed to classify motion accurately with these conventional methods because their accuracy and real-time capabilities are invariably inadequate. This paper proposes an accurate and real-time method for classifying the movements of pedestrians using ultra wide-band (UWB) Doppler radar to overcome these problems. The classification of various movements is achieved by extracting feature parameters based on UWB Doppler radar images and their radial velocity distributions. Experiments were carried out assuming six types of pedestrian movements (pedestrians swinging both arms, swinging only one arm, swinging no arms, on crutches, pushing wheelchairs, and seated in wheelchairs). We found they could be classified using the proposed feature parameters and a k-nearest neighbor algorithm. A classification accuracy of 96% was achieved with a mean calculation time of 0.55 s. Moreover, the classification accuracy was 99% using our proposed method for classifying three groups of pedestrian movements (normal walkers, those on crutches, and those in wheelchairs).

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“…At millimeter‐wave frequencies, switch‐based technique is more power‐efficient because the mixer, power amplifier, and other components in the mixer‐based technique are always “on” with a very low duty‐cycle transmitting signal. However, one drawback of the switch‐based technique is the residual carrier leakage owing to the limited isolation of RF switches . Therefore, with a proper switch design, the switch‐based pulsed radar architecture is preferable.…”

Section: Introductionmentioning

confidence: 99%

Carrier‐Based Cmos Impulse Generator for Ultrawideband Vehicular Radar Application

Jung

Kim

et al. 2013

Micro & Optical Tech Letters

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whereas two diodes denoted as D 1 are placed at the opposite diagonal corners. The remaining two diodes are denoted as D 2 and placed between the inner loop and the ground at the same corners where the previous two diodes are placed. Moreover, four capacitors C d are used between the I/O ports and the main structure to prevent DC current flowing to the ports. The proposed overall structure is controlled by two biasing circuits of voltage sources, V C1 and V C2 , current controlling resistors R C , bypass capacitors C C and RF chokes L C . The biasing circuit with voltage source V C1 is connected to the outer loop, whereas the biasing circuit with voltage source V C2 is connected to the inner loop. A possible voltage configuration for the two DC biasing circuits is shown in Table 1.When V C1 5 110V and V C2 5 15V, two D 1 diodes become on-state and two D 2 diodes become off-state so that the current flows through both the outer and the inner transmission lines. When V C1 5 210V and V C2 5 15V, D 1 diodes become off-state and D 2 diodes become on-state. Furthermore, two C b capacitors become electrically open in this voltage configuration because lengths of the inner transmission lines are close to 90 , and those transmission lines are shorted at the one end due to the on-state of D 2 diode. As a result, not only is the inner loop disconnected from the outer loop, but also the inner loop deforms due to the shorting so that potential loop resonance is vanished.To prove feasibility of the proposed structure, we designed and fabricated the proposed 90 BC-ROPR at a frequency band of 2.85-3.15 GHz to obtain output power ratios of 1:1 and 4:1. FABRICATION AND RESULTS V CABSTRACT: This article presents a CMOS ultrawideband (UWB) impulse generator using a 0.13-lm CMOS technology for the application of UWB 22-29-GHz vehicular radar. The proposed impulse generator has a pulse-modulated carrier-based architecture. The proposed design is power efficient and spectrum controllable with a frequency tuning range of 800 MHz. The output impulse has a pulse width less than 0.55 ns providing a high range resolution for the UWB vehicular radar systems.

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A 26GHz Short-Range UWB Vehicular-Radar Using 2.5Gcps Spread Spectrum Modulation

Cited by 20 publications

References 3 publications

Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning

Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning

Accurate and Real-Time Pedestrian Classification Based on UWB Doppler Radar Images and Their Radial Velocity Features

Carrier‐Based Cmos Impulse Generator for Ultrawideband Vehicular Radar Application

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