會議論文
| 學年 | 108 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2020-03-26 |
| 作品名稱 | State Estimation of Target Tracking Based on Improved Input Estimation Algorithm |
| 作品名稱（其他語言） | |
| 著者 | Yi-Wei Chen |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The 8th IIAE International Conference on Industrial Application Engineering 2020 |
| 會議地點 | Matsue, Japan |
| 摘要 | The estimation effectiveness for tracking a maneuvering target depends on the accurate modeling of target motion and the performance of the estimator. In this paper, a three-dimensional motion equation of target flight route is proposed to describe the motion state of maneuvering target. An improved input estimation algorithm is developed to solve the problem of noise disturbance for obtaining the target state precisely. It utilizes the residual innovation and the fuzzy logic theory to design a fuzzy weighting factor to improve the traditional input estimation method. The theoretical development of tracking technique is verified by using several different filters and compared with the Singer model method for tracking a maneuvering target. The simulation results prove that the improved input estimator has the better estimation performance than the other filters, and the proposed method outperforms greatly the Singer model method. The proposed tracking technique suggest a feasible method to improve the tracking ability of the radar especially for the maneuvering target with violent movement and the improved input estimation algorithm has a satisfied estimation performance. |
| 關鍵字 | maneuvering target, Kalman filter, input estimation; fuzzy logic |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20200326~20200330 |
| 通訊作者 | |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129914 ) |