Research output per year
Research output per year
Anastasia Lavrenko, Graeme Woodward, Stephen Pawson
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
In this paper, we address the problem of harmonic radar tag detection in the presence of non-ideal linearisation of radar sensors. Due to extremely low signal levels that are expected from passive harmonic tags, inherent non-linearities of radar sensors coupled with parasitic signal leakage from the transmitter to the receiver constitute major problems for tag detection. We propose a simple parasitic harmonic cancellation approach that takes advantage of the knowledge of the sensor geometry to compensate for the parasitic contribution in the delay domain. Our numerical results demonstrate that applying parasitic response cancellation yields considerable improvement to tag detection performance.
Original language | English |
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Title of host publication | 2019 IEEE Radar Conference, RadarConf 2019 |
Publisher | IEEE |
ISBN (Electronic) | 9781728116792 |
DOIs | |
Publication status | Published - Apr 2019 |
Externally published | Yes |
Event | 2019 IEEE Radar Conference, RadarConf 2019 - Westin Boston Waterfront, Boston, United States Duration: 22 Apr 2019 → 26 Apr 2019 https://www.showsbee.com/fairs/53771-IEEE-RadarConf-2019.html |
Conference | 2019 IEEE Radar Conference, RadarConf 2019 |
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Abbreviated title | RadarConf 2019 |
Country/Territory | United States |
City | Boston |
Period | 22/04/19 → 26/04/19 |
Internet address |
Research output: Contribution to conference › Paper › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review