Helicopter Near-Field Obstacle Warning System Based on Low-Cost Millimeter-Wave Radar Technology

Ziegler, Volker; Schubert, Falk; Schulte, B. W.; Giere, A.; Koerber, Richard; Waanders, T.

doi:10.1109/tmtt.2012.2228220

Cited by 15 publications

(6 citation statements)

References 4 publications

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“…Therefore, for this power line, the detection effect of the V-V polarized microwave radar is obviously better at 35 GHz. For the detection radar of millimeter wave power lines, the selectable band is Ka~W, and 76 GHz can be used as a low-cost or on-chip radar [38], and so it also includes the mainstream research 76 GHz. Due to the shorter wavelength of this band, more basis functions need to be established for the simulation.…”

Section: Numerical Calculation Comparisonmentioning

confidence: 99%

An Improved RCS Calculation Method for Power Lines Combining Characteristic Mode with SMWA

Chen

Yang

et al. 2022

Electronics

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The radar cross-section (RCS) of power lines has an important significance for detection of the power lines. The method of moments (MoM) can calculate the RCS of power lines. However, the efficiency of the MoM is limited by the time-consuming computing process, as well as the expensive storage overhead. In order to enhance the efficiency and reduce the storage of the RCS calculation of power lines, we propose an RCS calculation method that combines the characteristic mode (CM) with a Sherman–Morrison–Woodbury formula-based algorithm (SMWA), which is referred to as a CM-SMWA. CMs are used as the basis functions for reducing the dimension of the MoM impedance matrix, and the SMWA is applied to directly solve the CMs-reduced matrix equation, which can reduce the computational time and storage. The numerical results demonstrate that the proposed method can obtain the RCS of power lines, with different incident angles and different polarizations, at a higher efficiency. At 35 GHz, compared with the conventional MoM, for a typical LGJ50-8 power line with a length of 0.276 m, the computation time is reduced by 62.4% and the memory occupation is reduced by 96.4%.

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Section: Numerical Calculation Comparisonmentioning

confidence: 99%

An Improved RCS Calculation Method for Power Lines Combining Characteristic Mode with SMWA

Chen

Yang

et al. 2022

Electronics

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“…Bragg pattern is often employed to detect power lines with a high detection probability in the presence of background clutter. In [1,3,8], the Bragg pattern is investigated at 76 GHz MMW radar and some radar-based helicopter collision avoidance systems are described, however the specific cable detection algorithms are not given in detail. In [9], an angular profile-matching scheme is proposed for cable detection, however the detection performance is unsatisfactory with lower SCR.…”

Section: Introductionmentioning

confidence: 99%

“…Lowflying helicopters are highly limited under poor visibility. According to aircraft accident reports, many collisions are caused by such long and thin obstacles [1,2]. Even under good weather conditions, it remains difficult for the pilot to find these high-voltage power lines by visual observation.…”

Section: Introductionmentioning

confidence: 99%

Power line detection in millimetre‐wave radar images applying convolutional neural networks

Xiong

Luo

2021

IET Radar Sonar & Navi

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High-voltage power lines and their supporting towers create hazardous low-altitude flight conditions for helicopters. Herein, a novel power line detection and classification is proposed for millimetre-wave (MMW) radars applying Hough transform (HT) and convolutional neural network (CNN). HT is implemented to detect candidate lines in MMW radar images. Unfortunately, in the presence of background clutter and manmade structures, some false power lines are also brought in, thus it is vital to differentiate the actual power lines. Moreover, it is important to classify the power lines with and without Bragg pattern, and offer different threat levels. The authors firstly introduce the incidence angle and azimuth angle vectors of candidate lines as a supplement to power vectors, and propose a new CNN architecture for classification that uses powerful dense blocks and defined index pooling. With the trick of index pooling, the incidence angle and azimuth angle vectors can be merged with the corresponding power vectors together to mine the features, including those of Bragg pattern. Taking advantage of scale transformation, the proposed network adapts to different input scales. Extensive experiments demonstrate that the proposed method achieves state-of-the-art results and is not sensitive to the input scales and noise levels.Wei Xiong and Jingsheng Luo are co-first authors.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Applications for radars at these frequencies are very diverse and include security screening [1], material inspection [2], helicopter powerline detection and brownout collision avoidance [3], [4], and atmospheric sensing [5], [6]. The successful realisation of sub/millimetre wave radars depends on the availability of enabling technology.…”

Section: Introductionmentioning

confidence: 99%

Enabling Technologies for High Performance Millimetre and Sub-millimetre Wave Radar

Robertson

2018

2018 19th International Radar Symposium (IRS)

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Helicopter Near-Field Obstacle Warning System Based on Low-Cost Millimeter-Wave Radar Technology

Cited by 15 publications

References 4 publications

An Improved RCS Calculation Method for Power Lines Combining Characteristic Mode with SMWA

An Improved RCS Calculation Method for Power Lines Combining Characteristic Mode with SMWA

Power line detection in millimetre‐wave radar images applying convolutional neural networks

Enabling Technologies for High Performance Millimetre and Sub-millimetre Wave Radar

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