Adaptive velocity ambiguity resolution algorithm based on gradient descent
Adaptive velocity ambiguity resolution algorithm based on gradient descent
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- Author(s): M. Jiao 1 ; L. Jiang 1, 2 ; B. Zou 1 ; Z. Wang 1 ; S. Tan 1
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View affiliations
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Affiliations:
1:
Shanghai Radio Equipment Research Institute , Shanghai, 200090 , China ;
2: School of Artificial Intelligence and Automation , Huazhong University of Science and Technology , Wuhan, 430074 , China
Source:
IET International Radar Conference (IET IRC 2020),
2021
p.
1033 – 1036
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Affiliations:
1:
Shanghai Radio Equipment Research Institute , Shanghai, 200090 , China ;
- Conference: IET International Radar Conference (IET IRC 2020)
- DOI: 10.1049/icp.2021.0687
- ISBN: 978-1-83953-540-6
- Location: Online Conference
- Conference date: 04-06 November 2020
- Format: PDF
For Pulse radars, the Doppler spectrum of the targets will fold in the range of radar frequency measurement and the velocity ambiguity occurs, when the Doppler frequency of the target is larger than a single pulse repetition frequency (PRF). Many classical methods of solving velocity ambiguity depend on the distance-change rate. The poor or unknown accuracy of distance may result in unreliable ambiguity resolution. In this paper, an objective function of resolving the velocity ambiguity for staggered PRI radar is proposed. The gradient descent with a self-adaptive updating learning rate is introduced to calculate the ambiguity. The proposed method can find out the true velocity of the target with a small number of iterations, which is not affected by the distance accuracy.
Inspec keywords: radar signal processing; radar detection; gradient methods; image resolution; Doppler radar
Subjects: Optimisation techniques; Radar equipment, systems and applications; Signal processing and detection