| Defence Science Journal | |
| Fuzzy Logic Applications in Filtering and Fusion for Target Tracking | |
| S. K. Kashyap1  J. R. Raol1  | |
| [1] National Aerospace Laboratories, Bangalore | |
| 关键词: DATE; fuzzy set; linguistic variables; national resource index; system realisabilityindex; | |
| DOI : | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Defence Scientific Information & Documentation Centre | |
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【 摘 要 】
A fuzzy Kalman filter algorithm is developed for target tracking applications and itsperformance evaluated using several numerical examples. The approach is relatively novel. Acomparison with Kalman filter and an adaptive tuning algorithm is carried out. The applicabilityand usefulness of fuzzy logic in data fusion is also demonstrated. The performance of both theextended Kalman filter and fuzzy extended Kalman filter is evaluated using real data of amanoeuvering target and it is found that fuzzy extended Kalman filter shows better performanceas compared to extended Kalman filter.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010139875ZK.pdf | 245KB |
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