| Autor: |
XIONG Fangyong, WANG Jiantao, HUANG Jie, DANG Tongxin |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Zhihui kongzhi yu fangzhen, Vol 45, Iss 6, Pp 47-56 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1673-3819 |
| DOI: |
10.3969/j.issn.1673-3819.2023.06.008 |
| Popis: |
In order to improve the tracking performance of cognitive radar, this paper proposes a waveform selection algorithm for cognitive radar tracking assisted by amplitude information. Firstly, the framework of waveform parameter selection for cognitive radar tracking is discussed. Secondly, the performance of amplitude-assisted tracking probability data association is analyzed, and the method of waveform parameter selection is proposed. Finally, combined with the Interactive Multiple Model Unscented Kalman Filter (IMMUKF), an amplitude information assisted waveform selection algorithm for cognitive radar tracking is proposed. Simulation results show that the proposed algorithm can effectively improve the target tracking performance and reduce the probability of target tracking loss. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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