Low-angle target tracking using frequency-agile refined maximum likelihood algorithm
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...
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| Veröffentlicht in: | IET radar, sonar & navigation sonar & navigation, 2017-03, Vol.11 (3), p.491-497 |
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| container_title | IET radar, sonar & navigation |
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| creator | Zhu, Yutang Zhao, Yongbo Shui, Penglang |
| description | 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. |
| doi_str_mv | 10.1049/iet-rsn.2016.0301 |
| format | Article |
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| ispartof | IET radar, sonar & navigation, 2017-03, Vol.11 (3), p.491-497 |
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| language | eng |
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| source | Wiley Online Library Open Access |
| subjects | Adjustment Algorithms angle estimation Computer simulation Estimates frequency‐agile refined maximum likelihood algorithm frequency‐agile RML algorithm low‐angle target tracking problem maximum likelihood estimation mean square error methods mean‐squared error reduction MSE minimization Navigation Radar radar operating frequency radar signal processing radar tracking Research Article Sonar Target tracking |
| title | Low-angle target tracking using frequency-agile refined maximum likelihood algorithm |
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