Non-linear algorithm for the optimal estimation of multiple localized targets

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/46306

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46306

题名:	Non-linear algorithm for the optimal estimation of multiple localized targets
作者:	Chang, O.;Chiang, Shu-min
贡献者:	淡江大學電機工程學系
日期:	1987
上传时间:	2010-03-26 21:57:41 (UTC+8)
出版者:	Taylor & Francis
摘要:	For allocating the localized target in tracking, auxiliary data and signal processors are needed to achieve the measurement in the related different localized target. An efficient recursive algorithm to track multiple targets is developed in this paper for the case of the localized surveillance system. The main effort in the estimation of the filtering and prediction filter applied in tracking targets is concentrated on the error covariance and filter gain. The advantages of this residual algorithm are the use of prestored data and the fact that the target trace has a reasonable convergence computation rate for localized target estimation and prediction.
關聯:	International journal of systems science 18(9), pp.1627-1635
DOI:	10.1080/00207728708967140
显示于类别:	[電機工程學系暨研究所] 期刊論文

文件中的档案:

档案	大小	格式	浏览次数
index.html	0Kb	HTML	42	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章