Method of multi-channel calibration for digital array radar

Li, Weixing; Lin, Jianzhi; Wang, Yasen; Chen, Zengping

doi:10.1109/eumc.2015.7346073

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Several methods have been developed to find the antenna noise, which not only consists of a phase delay but also of an amplitude error [32][33][34]. These algorithms perform calibration to a point or object, of which the position is known.…”

Section: Antenna Calibration For Imperfect Phased Arraymentioning

confidence: 99%

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A portable primary radar for general aviation

Maas

Gent²

2020

PLoS ONE

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A detailed situation awareness of the local environment is essential for safe flight in General Aviation. When operating under Visual Flight Rules, eyesight is crucial for maintaining situation awareness and objects may be overlooked. Technical solutions such as Flarm have been sought, but they only work on a basis of cooperation: obstacles without the proper equipment are invisible. Recent developments in the field of radar technology, partly empowered by the demand for sensors for autonomous cars, have improved the size and power consumption of available hardware. Today, the hardware exists to build a portable primary radar system for situation awareness. In this paper the results are presented of efforts to build the first portable primary radar for general, which has to be lightweight, cheap and have a low power consumption. The focus in this paper is on the software design of such a radar system. The physical principles of radar sensing are described, as well as the scientific steps needed to provide situation awareness. The hardware and software for the radar are both built and tested, and the results of these tests are presented. A flight experiment is performed with a small aircraft flying past a stationary radar on a small hill. It is found that the radar is capable of detecting the aircraft up to a distance of at least 3 kilometers. 3D localization is performed and the location determined by the radar was on average 46 meters away from the aircraft position as measured by satellite navigation, relative to a total distance of about 1000 meters from the radar. A low-pass filter can be applied on the raw results in order to improve the location estimation further. Future research will focus on bringing the portable radar in motion while operating.

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Section: Antenna Calibration For Imperfect Phased Arraymentioning

confidence: 99%

“…The algorithm from [33] is used to compute the phase difference that is required to align all coloured lines in Fig 19 with the black dashed lines for the expectations. In other words, the algorithm computes the terms n x from Eq 12.…”

Section: Plos Onementioning

confidence: 99%

A portable primary radar for general aviation

Maas

Gent²

2020

PLoS ONE

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show abstract

“…[9]. Furthermore, the interior‐auto calibration algorithm has been developed when calibration sources are not available [10]. During operation section, radar is difficult to rely on auxiliary equipment, and it usually has its own calibration system.…”

Section: Introductionmentioning

confidence: 99%