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Experimental Evaluation of Adaptive Beamforming for Automotive Radar Interference Suppression
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- Rameez, Muhammad, 1988- (author)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap,Systems Engineering
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- Dahl, Mattias (author)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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- Pettersson, Mats, 1966- (author)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
- (creator_code:org_t)
- IEEE, 2020
- 2020
- English.
- In: IEEE Radio and Wireless Symposium. - : IEEE. - 9781728111209 ; , s. 183-186
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Mutual interference between automotive radars can make it difficult to detect targets, especially the weaker ones, such as cyclists and pedestrians. In this paper, the interference suppression performance of a Least Mean Squares (LMS) algorithm-based adaptive beamformer is evaluated using measurements from a 77 GHz Frequency Modulated Continuous Wave (FMCW) radar in an outdoor environment. It is shown that the adaptive beamformer increases detection performance and that the interference is suppressed down to the noise floor of the radar in the Range-Doppler domain. In the paper, real baseband sampling and complex-baseband sampling (IQ) radar receivers are compared in the context of interference suppression. The measurements show that IQ receivers are more beneficial in the presence of interference.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Automotive radar
- Frequency Modulated Continuous Wave (FMCW)
- interference mitigation
- digital beamforming
Publication and Content Type
- ref (subject category)
- kon (subject category)
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