High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization

DAI Zuoning; ZHANG Xinggan; FANG Hui; BAI Yechao

doi:10.1049/cje.2016.06.009

Volume 25 Issue 4

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DAI Zuoning, ZHANG Xinggan, FANG Hui, et al., “High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 774-778, 2016, doi: 10.1049/cje.2016.06.009

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DAI Zuoning, ZHANG Xinggan, FANG Hui, et al., “High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 774-778, 2016, doi: 10.1049/cje.2016.06.009

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High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization

doi: 10.1049/cje.2016.06.009

1.
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;
2.
State Key Laboratory of Millimeter Waves, Nanjing 210096, China

Funds: This work is supported by the Open Research Fund of the State Key Laboratory of Millimeter Waves (No.K201514).

More Information

Corresponding author: BAI Yechao (corresponding author) was born in 1984, he received the B.S. degree in electronic science and engineering from Nanjing University, Nanjing, China, in 2005, and the Ph.D. degree from the same University in 2010. He is now an associate professor in Nanjing University. His research interests include the area of radar and signal processing. (Email:ychbai@nju.edu.cn)
Received Date: 2014-08-04
Rev Recd Date: 2015-02-12
Publish Date: 2016-07-10

Abstract

Abstract

Velocity measurement is a basic task of radars. The target velocity is usually estimated according to the Doppler frequency shift. While traditional Doppler methods are unsuitable for high-speed targets, since the serious range migration between adjacent echoes causes phase wrapping. The serious range migration also interferes the coherent integration to improve the accuracy of the velocity estimation. A velocity measurement method based on Keystone transform using entropy minimization is studied to solve this problem. This method applies Keystone transform to the echo to calculate the ambiguity degree with the help of entropy minimization. The proposed algorithm estimates the ambiguity degree with no error at a wider range of SNR than the traditional method. The ambiguous Doppler frequency is obtained according to the slow time. Theoretical analyses and simulations show that this method has very high precision.
- Entropy minimization,
- Keystone transform,
- Range migration,
- Velocity measurement

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References(19)

References

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