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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhu, Yutang Zhao, Yongbo Shui, Penglang |
| Abstract | An Low-angle target tracking problem is investigated via the refined maximum likelihood (RML) algorithm. The results of the RML algorithm reveal that increasing the operating frequency of radar does not always reduce the mean-squared error (MSE) of angle estimate and thus an appropriate selection of the operating frequency can improve the angle estimation accuracy. Here, a frequency-agile RML algorithm is proposed, which adaptively adjusts the operating frequency during target tracking to minimize the MSEs of angle estimate. Theoretical analysis and simulation are made to verify the effectiveness of the frequency-agile RML algorithm. |
| Starting Page | 491 |
| Ending Page | 497 |
| Page Count | 7 |
| ISSN | 17518784 |
| Volume Number | 11 |
| e-ISSN | 17518792 |
| Issue Number | Issue 3, Mar (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/11/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0301 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2016-10-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Angle Estimation Frequency-agile Refined Maximum Likelihood Algorithm Frequency-agile RML Algorithm Interpolation And Function Approximation Low-angle Target Tracking Problem Maximum Likelihood Estimation Mean Square Error Method Mean-squared Error Reduction MSE Minimization Numerical Analysis Radar Operating Frequency Radar Signal Processing Radar Theory Radar Tracking Signal Processing And Detection Statistics Target Tracking |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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