Passive radar based control of wind turbine collision warning for air traffic PARASOL

Heckenbach, Jörg; Kuschel, Heiner; Schell, Jochen; Ummenhofer, Martin

doi:10.1109/irs.2015.7226394

Cited by 27 publications

(10 citation statements)

References 4 publications

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“…Further details about the transmitter of opportunity are listed in Table 1. The experimental passive radar system PARASOL [16], developed at Fraunhofer FHR, was employed. It consists of two parallel receiving channels, the receiver front‐end and the data and signal processing unit (see Fig.…”

Section: Acquisition Campaignmentioning

confidence: 99%

“…Specifically, the P‐GLRT proposed in [13] is considered in order to successfully exploit the polarisation diversity between the target echoes and the competing background. The experimental analysis is performed using data collected by the experimental passive radar system PARASOL developed at Fraunhofer FHR [16]. Particularly, two parallel receiving channels have been employed, connected to two cross‐polarised antennas that collect the vertical and horizontal polarised versions of the surveillance signal.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental results of polarimetric detection schemes for DVB‐T‐based passive radar

Filippini

Colone

Cristallini

et al. 2017

IET Radar, Sonar & Navigation

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Section: Acquisition Campaignmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental results of polarimetric detection schemes for DVB‐T‐based passive radar

Filippini

Colone

Cristallini

et al. 2017

IET Radar, Sonar & Navigation

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“…As the receiving system, two Parasol units [ 40 ], developed by Fraunhofer FHR, were used. The Parasol system is a two channel receiving system with an effective sampled bandwidth of 32 MHz, built as a dual-superheterodyne receiver.…”

Section: Application On Real Datamentioning

confidence: 99%

A Three-Stage Inter-Channel Calibration Approach for Passive Radar on Moving Platforms Exploiting the Minimum Variance Power Spectrum

Wojaczek

Cristallini

O’Hagan

et al. 2020

Sensors

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Research in passive radar has moved its focus towards passive radar on moving platforms in recent years with the purpose of moving target indication and ground imaging via synthetic aperture radar. This is also fostered by the progress in hardware miniaturization, which alleviates the installation of the required hardware on moving platforms. Terrestrial transmitters, commonly known as illuminators of opportunity in the passive radar community, usually emit the signals in the Very High Frequency (VHF) or Ultra High Frequency (UHF) band. Due to the long wavelengths of the VHF/UHF band, there are constraints on the size of the used antenna elements, and therefore, the number of antenna elements to be employed is limited, especially as the platform carrying the passive radar system is intended to be small, potentially even an unmanned aerial vehicle. In order to detect moving targets hidden by Doppler shifted clutter returns, one common approach is to suppress the clutter returns by applying clutter suppression techniques that rely on spatial and temporal degrees of freedom, such as Displaced Phase Center Antenna (DPCA) or Space-Time Adaptive Processing. It has been shown that the DPCA approach is a meaningful technique to suppress the clutter if two antenna elements are employed. However, if the employed receiving channels are not carefully calibrated, the clutter suppression is shown to be not effective. Here, we suggest a three-stage calibration technique in order to perform the calibration of two receiving channels, which involves the exploitation of the direct signal, a data-adaptive amplitude calibration, and finally, a data-adaptive calibration of phase mismatches between both receiving channels by the estimation of the Minimum Variance Power Spectrum of the clutter. The validity of the proposed approach is shown with simulated data and demonstrated on real data from a fast ground moving platform, showing improved clutter cancellation capabilities.

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“…These advantages over vision sensors made it popular in various application scenarios, i.e. automotive radar for autonomous driving [6,7], collision warning for air traffic PARASOL [8], railroad crossing safety [9], blind-spot detection and construction worker safety-alert system [10], obstacle detection and individual status detection of objects in proximity for collision warning [11], etc. The most popular application scenario of consumer radar, thus excluding military and air surveillance systems, are found in Advanced Driver Assistance Systems (ADAS) to avoid potential collisions and accidents.…”

Section: Related Workmentioning

confidence: 99%

A New Railyard Safety Approach for Detection and Tracking of Personnel and Dynamic Objects Using Software-Defined Radar

Banerjee

Santos

Hempel

et al. 2018

2018 Joint Rail Conference

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In a typical railyard environment, a myriad of large and dynamic objects pose significant risks to railyard workers. Unintentional falls, trips and collisions with dynamic rolling stock due to distractions or lack of situational awareness are an unfortunate reality in modern railyards. The challenges of current technologies in detecting and tracking multiple differently-sized mobile objects in situations such as i) one-on-one, ii) many-to-one, iii) one-to-many, iv) blind spot, and v) interfering/non-interfering separation creates the possibility for reduction or loss of situational awareness in this fast-paced environment. The simultaneous tracking of assets with different size, velocity and material composition in different working and environmental conditions can only be accomplished through joint infrastructure-based asset discovery and localization sensors that cause no interference or impediment to the railyard workers, and which are capable of detecting near-misses as well. Our team is investigating the design and performance of such a solution, and is currently focusing on the innovative usage of lightweight low-cost RADAR under different conditions that are expected to be encountered in railyards across North America. We are employing Ancorteks 580-AD Software Defined RADAR (SDRadar) system, which operates at the license-free frequency of 5.8 GHz and with a variety of different configuration options that make it well-suited for generalized object tracking. The challenges, however, stem from the unique interplay between tracking large metallic objects such as railcars, locomotives, and trucks, as well as smaller objects such as railyard workers, in particular their robust discernment from each other. Our design’s higher-level system can interact with the lower-level SDRadar design to change the parameters in real-time to detect and track large objects over significant distances. The algorithm optimally adjusts waveform, sweep time and sample rate based on one or multiple detected object cross-sections and subsequently alters these parameters to be able to discern other objects from them that are in close proximity. We also use an ensemble method to determine the velocity and distance of target objects to accurately track the subject and larger objects at a distance. The methodology has been field-tested with several test cases in a multitude of weather and lighting conditions. We have also tested the proper height, azimuth and elevation angles for positioning our SDRadar to alleviate the risk of blind spots and enhancing the detection and tracking capabilities of our algorithm. The approach has outperformed our previous tests using visual and acoustic sensors for detection and tracking railroad workers in terms of accuracy and operating flexibility. In this paper, we discuss the details of our proposed approach and present our results from the field tests.

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Passive radar based control of wind turbine collision warning for air traffic PARASOL

Cited by 27 publications

References 4 publications

Experimental results of polarimetric detection schemes for DVB‐T‐based passive radar

Experimental results of polarimetric detection schemes for DVB‐T‐based passive radar

A Three-Stage Inter-Channel Calibration Approach for Passive Radar on Moving Platforms Exploiting the Minimum Variance Power Spectrum

A New Railyard Safety Approach for Detection and Tracking of Personnel and Dynamic Objects Using Software-Defined Radar

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