Ground Moving Target Parameter Estimation for Stripmap SAR Using the Unscented Kalman Filter

被引：0

作者：

Balaji, Bhashyam ^{[1
]}

Gierull, Christoph ^{[1
]}

Damini, Anthony ^{[1
]}

机构：

[1] Def Res & Dev Canada, Ottawa Res Ctr, Radar Sensing & Exploitat Sect, Ottawa, ON K1A 0Z4, Canada

来源：

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XXI | 2014年 / 9093卷

关键词：

Synthetic Aperture Radar; Nonlinear Filtering; Unscented Kalman Filter; RADAR;

D O I：

10.1117/12.2058263

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In multi-channel SAR systems, the detection of movers is carried out using techniques based on the Wiener filter. An important problem is the estimation of the moving target parameters such as along-track velocity, across-track velocity, and azimuth displacement. In this paper, the parameter estimation problem is formulated as a novel Bayesian state estimation problem. The unscented Kalman filter is applied to the problem and it is noted that it leads to good estimates.

引用

页数：8

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