期刊刊名：大葉學報 　 卷期：11卷1期

篇名出版日期：2002年6月1日

作者：陳雍宗,JOY-ZONG CHEN

語言：English

關鍵字：least-square batch processing, recursive least-square processing, extended Kalman filter,最小平方批次處理,最小平方遞迴處理,擴展性卡爾曼濾波器

被點閱次數：2次

閱讀時間：175sec

摘要：
In this study, the recursive least-square processing algorithm, which can reduce processing time, is applied to passive-position location. The performance of four different estimation schemes are also analyzed and evaluated, namely, nonlinear least-square batch processing, nonlinear least-square recursive processing, extended Kalman filter, and iterated extended Kalman filter. A hybrid position algorithm for passive-position location is thereby developed. Numerical results indicate that the new algorithm indeed increases the accuracy of local positioning. Locating error distance in passive target positions for various initial positions of aircraft is also analyzed.

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