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| 題 名 | An Interaction Multiple Models with Input Estimation Approach for Tracking Maneuvering Targets=交互式多重模式與輸入估計法應用於追蹤戰術運動目標之研究 |
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| 作 者 | 馮力威; 段伴虬; | 書刊名 | 中正嶺學報 |
| 卷 期 | 24:2 1996.01[民85.01] |
| 頁 次 | 頁123-139 |
| 分類號 | 448.51 |
| 關鍵詞 | 逃逸策略; 交互式多重模式; 遞迴式輸入估計器; Evasive strategies; Interaction multiple models; Recursive input estimator; |
| 語 文 | 英文(English) |
| 中文摘要 | 本文針對目標戰術運動提出一新適應性追蹤演算法。考量各種合理的目標戰術運 動逃逸策略,建立一目標加速度模型此係組合辛氏( Singer )加速度模型與確定性步進式 戰術運動模型而成。因原始交互式多重模式追蹤演算法對此目標模型有追蹤誤差。一遞迴式 即時最小平方演算法被推導出,用來計算輸入加速度之量,以減少追蹤誤差。將遞迴式輸入 估計器與交互式多重模式組合之追蹤演算法,改進了追蹤精確度。模擬結果顯示,本文所發 展的演算法優於原始交互式多重模式追蹤演算法。 |
| 英文摘要 | A new adaptive tracking algorithm for maneuvering targets is presented. To account for the various realistic evasive maneuver strategies, a target's acceleration model that combines Singer's model with the deterministic step maneuver model is proposed. The original interacting multiple models (IMM) method incurs mean tracking error in the presence of a pilot-commanded target maneuver. A recursive real time least squares algorithm for computing the magnitude of input acceleration is derived to reduce this tracking error. The combined scheme of a recursive input estimator and the IMM improves tracking accuracy significantly. Simulation results show that the proposed algorithm is superior to that of the original IMM algorithm. |
本系統中英文摘要資訊取自各篇刊載內容。