Analysis and compensation for motion errors in FMCW SAR data

Wang, Robert; Loffeld, Otmar; Nies, Holger; Peters, Valerij; Hagelen, Manfred; Essen, H.

doi:10.1109/igarss.2010.5651128

Cited by 4 publications

(1 citation statement)

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“…Noise and clutter contained in the radar signal are another cause of velocity measurement errors (6), where

is the power of noise clutter, and

is the total signal power. A deviation between the radar’s actual frequency modulation slope and the ideal slope, especially if the transmitter’s frequency modulation linearity is poor, can also lead to velocity measurement errors (7) [ 28 , 29 ].

…”

Section: Principles Of Autonomous Driving Radarmentioning

confidence: 99%

An Overview of Millimeter-Wave Radar Modeling Methods for Autonomous Driving Simulation Applications

Huang,

Ding,

Deng

2024

Sensors

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Autonomous driving technology is considered the trend of future transportation. Millimeter-wave radar, with its ability for long-distance detection and all-weather operation, is a key sensor for autonomous driving. The development of various technologies in autonomous driving relies on extensive simulation testing, wherein simulating the output of real radar through radar models plays a crucial role. Currently, there are numerous distinctive radar modeling methods. To facilitate the better application and development of radar modeling methods, this study first analyzes the mechanism of radar detection and the interference factors it faces, to clarify the content of modeling and the key factors influencing modeling quality. Then, based on the actual application requirements, key indicators for measuring radar model performance are proposed. Furthermore, a comprehensive introduction is provided to various radar modeling techniques, along with the principles and relevant research progress. The advantages and disadvantages of these modeling methods are evaluated to determine their characteristics. Lastly, considering the development trends of autonomous driving technology, the future direction of radar modeling techniques is analyzed. Through the above content, this paper provides useful references and assistance for the development and application of radar modeling methods.

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“…Noise and clutter contained in the radar signal are another cause of velocity measurement errors (6), where

is the power of noise clutter, and

…”

Section: Principles Of Autonomous Driving Radarmentioning

confidence: 99%