Development of short-range ground surveillance radar for moving target detection

Hyun, Eugin; Jin, Young-Seok; Ju, Yeounghwan; Lee, Jong-Hun

doi:10.1109/apsar.2015.7306300

Cited by 19 publications

(13 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used a 24 GHz transceiver with a single receiving antenna developed for an automotive radar system [ 13 ]. The detail system parameters are presented in Table 1 .…”

Section: Measurement Resultsmentioning

confidence: 99%

A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar

Hyun

Jin

Lee

2016

Sensors

Self Cite

View full text Add to dashboard Cite

For an automotive pedestrian detection radar system, fast-ramp based 2D range-Doppler Frequency Modulated Continuous Wave (FMCW) radar is effective for distinguishing between moving targets and unwanted clutter. However, when a weak moving target such as a pedestrian exists together with strong clutter, the pedestrian may be masked by the side-lobe of the clutter even though they are notably separated in the Doppler dimension. To prevent this problem, one popular solution is the use of a windowing scheme with a weighting function. However, this method leads to a spread spectrum, so the pedestrian with weak signal power and slow Doppler may also be masked by the main-lobe of clutter. With a fast-ramp based FMCW radar, if the target is moving, the complex spectrum of the range- Fast Fourier Transform (FFT) is changed with a constant phase difference over ramps. In contrast, the clutter exhibits constant phase irrespective of the ramps. Based on this fact, in this paper we propose a pedestrian detection for highly cluttered environments using a coherent phase difference method. By detecting the coherent phase difference from the complex spectrum of the range-FFT, we first extract the range profile of the moving pedestrians. Then, through the Doppler FFT, we obtain the 2D range-Doppler map for only the pedestrian. To test the proposed detection scheme, we have developed a real-time data logging system with a 24 GHz FMCW transceiver. In laboratory tests, we verified that the signal processing results from the proposed method were much better than those expected from the conventional 2D FFT-based detection method.

show abstract

“…We used a 24 GHz transceiver with a single receiving antenna developed for an automotive radar system [ 13 ]. The detail system parameters are presented in Table 1 .…”

Section: Measurement Resultsmentioning

confidence: 99%

A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar

Hyun

Jin

Lee

2016

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the future, we will undertake the verification of the developed radar sensor in typical automotive conditions. To do this, instead of the basic target detection algorithm used in this paper, we will employ additional algorithms from the previous works, including those for weak target detection under a strong clutter environment [14], moving target detection [18], multitarget tracking [19], and the separate detection of moving and stationary targets. Moreover, we will carry out experiments to verify the detection performance capabilities of various surveillance applications, including pedestrian detection, automotive detection, and traffic monitoring.…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of 24 GHz Multichannel FMCW Surveillance Radar with a Software-Reconfigurable Baseband

2017

Self Cite

View full text Add to dashboard Cite

We designed and developed a 24 GHz surveillance FMCW (Frequency Modulated Continuous Wave) radar with a softwarereconfigurable baseband. The developed radar system consists of transceiver, two selectable transmit antennas, eight parallel receive antennas, and a back-end module for data logging and to control the transceiver. The architecture of the developed radar system can support various waveforms, gain control of receive amplifiers, and allow the selection of two transmit antennas. To do this, we implemented the transceiver using a frequency synthesizer device and a two-step VGA (Variable Gain Amplifier) along with switch-controlled transmit antennas. To support high speed implementation features along with good flexibility, we developed a back-end module based on a FPGA (Field Programmable Gate Array) with a parallel architecture for the real-time data logging of the beat signals received from a multichannel 24 GHz transceiver. To verify the feasibility of the developed radar system, signal processing algorithms were implemented on a host PC. All measurements were carried out in an anechoic chamber to extract a 3D range-Doppler-angle map and target detections. We expect that the developed software-reconfigurable radar system will be useful in various surveillance applications.

show abstract

“…Several wireless technologies have been proposed to achieve reliable communication [ 40 , 41 ] and applied to robots applications [ 42 , 43 , 44 , 45 ]. In the smart transportation system, detection and ranging sensors can allow robust detection for a target and measurement of their speed, distance and motion direction [ 46 , 47 , 48 ]. In this paper, we assume that the physical layer of the sensing/communication part of the multi-agent system is well developed, and we concentrate on the algorithm of the multi-agent system especially for the shepherding task.…”

Section: Related Workmentioning

confidence: 99%

Autonomous Shepherding Behaviors of Multiple Target Steering Robots

Lee

Kim

2017

Sensors

View full text Add to dashboard Cite

This paper presents a distributed coordination methodology for multi-robot systems, based on nearest-neighbor interactions. Among many interesting tasks that may be performed using swarm robots, we propose a biologically-inspired control law for a shepherding task, whereby a group of external agents drives another group of agents to a desired location. First, we generated sheep-like robots that act like a flock. We assume that each agent is capable of measuring the relative location and velocity to each of its neighbors within a limited sensing area. Then, we designed a control strategy for shepherd-like robots that have information regarding where to go and a steering ability to control the flock, according to the robots’ position relative to the flock. We define several independent behavior rules; each agent calculates to what extent it will move by summarizing each rule. The flocking sheep agents detect the steering agents and try to avoid them; this tendency leads to movement of the flock. Each steering agent only needs to focus on guiding the nearest flocking agent to the desired location. Without centralized coordination, multiple steering agents produce an arc formation to control the flock effectively. In addition, we propose a new rule for collecting behavior, whereby a scattered flock or multiple flocks are consolidated. From simulation results with multiple robots, we show that each robot performs actions for the shepherding behavior, and only a few steering agents are needed to control the whole flock. The results are displayed in maps that trace the paths of the flock and steering robots. Performance is evaluated via time cost and path accuracy to demonstrate the effectiveness of this approach.

show abstract

Development of short-range ground surveillance radar for moving target detection

Cited by 19 publications

References 3 publications

A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar

A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar

Design and Implementation of 24 GHz Multichannel FMCW Surveillance Radar with a Software-Reconfigurable Baseband

Autonomous Shepherding Behaviors of Multiple Target Steering Robots

Contact Info

Product

Resources

About