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| Content Provider | IET Digital Library |
|---|---|
| Author | Dai, Zuoning Zhang, Xinggan Fang, Hui Bai, Yechao |
| 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. |
| Starting Page | 774 |
| Ending Page | 778 |
| Page Count | 5 |
| ISSN | 10224653 |
| Volume Number | 25 |
| e-ISSN | 20755597 |
| Issue Number | Issue 4, Jul (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/cje/25/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/cje.2016.06.009 |
| Journal | Chinese Journal of Electronics |
| Publisher Date | 2016-07-01 |
| Access Restriction | Open |
| Rights Holder | © Chinese Institute of Electronics |
| Subject Keyword | Acceleration Ambiguity Degree Ambiguous Doppler Frequency Echo Entropy Minimization Function Theory And Analysis High Accuracy Velocity Measurement Integral Transforms in Numerical Analysis Keystone Transform Minimum Entropy Method Rotation Measurement Signal Processing And Detection Slow Time Target Velocity Transform Velocity Velocity Measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering |
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