ZHOU Junwei, SHEN Qing, CUI Wei. A Novel Carrier Leakage Cancellation Algorithm for Multiple Target Detection[J]. Chinese Journal of Electronics, 2019, 28(1): 100-106. doi: 10.1049/cje.2018.10.004
Citation: ZHOU Junwei, SHEN Qing, CUI Wei. A Novel Carrier Leakage Cancellation Algorithm for Multiple Target Detection[J]. Chinese Journal of Electronics, 2019, 28(1): 100-106. doi: 10.1049/cje.2018.10.004

A Novel Carrier Leakage Cancellation Algorithm for Multiple Target Detection

doi: 10.1049/cje.2018.10.004
Funds:  This work is supported by the National Natural Science Foundation of China (No.61672097).
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  • Corresponding author: SHEN Qing (corresponding author) was born in Jiangxi, China, in May 1988. He received his B.E. degree in 2009 and Ph.D. degree in 2016, both from Beijing Institute of Technology, Beijing, China. From 2013 to 2015, He was a visiting researcher in the Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK. He is currently a post doctoral researcher in Beijing Institute of Technology. His research interests include radar and array signal processing. (Email:qing-shen@outlook.com)
  • Received Date: 2018-05-11
  • Rev Recd Date: 2018-06-21
  • Publish Date: 2019-01-10
  • False alarms and misdetections caused by the carrier leakage problem attract increasing attention for resource-limited platforms. To tackle the problem, we propose a target protected carrier leakage cancellation algorithm to rebuild the leakage signal from reference cells with those cells randomly updated based on each detection result to exclude the targets. The proposed algorithm eliminates the carrier leakage effectively without introducing false target due to the non-involvement of the target information in the reference cells based on a random update strategy. The noise level of our proposed algorithm is less than that of the commonly used algorithms such as the Cell average constant false alarm rate (CA-CFAR) detection method. As verified in the simulations, the proposed algorithm performs better than the CA-CFAR method.
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