Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs

Zicheng Kong, Jing Tian, Chen Ning, Wei Cui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.

Original languageEnglish
Title of host publicationRadarConf23 - 2023 IEEE Radar Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436694
DOIs
Publication statusPublished - 2023
Event2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States
Duration: 1 May 20235 May 2023

Publication series

NameProceedings of the IEEE Radar Conference
Volume2023-May
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2023 IEEE Radar Conference, RadarConf23
Country/TerritoryUnited States
CitySan Antonia
Period1/05/235/05/23

Keywords

  • Iterative adaptive approach
  • Keystone transform
  • radar
  • range-Doppler imaging
  • sidelobe suppression

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