4.7 Article

Multiobservation-Based Closely Spaced Extended Target Angle Estimation Method

期刊

IEEE SENSORS JOURNAL
卷 23, 期 17, 页码 19783-19793

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3296758

关键词

Scattering; Maximum likelihood estimation; Spaceborne radar; Sensors; Wideband; Radar scattering; Radar antennas; Angle estimation; closely spaced extended targets; maximum likelihood estimation (MLE)

向作者/读者索取更多资源

Highly accurate target angle estimation is crucial for target tracking. When multiple targets are close to each other, their measurement points may be located in the same range-azimuth cell. This article proposes a closely spaced extended target angle estimation method that utilizes the principle of invariance of extended target scattering characteristics and maximum likelihood estimation to address the issue of multiple target scattering points falling within the same cell.
Highly accurate target angle estimation is essential for target tracking. In closely spaced scenarios, when multiple targets are close to each other, their measurement points will be located in the same range-azimuth cell. In particular, under wideband radar conditions, the target is expanded into multiple scattering points. When multiple extended targets are located close to each other in space, there may be multiple target scattering points falling within the same range-azimuth cell. In this case, there is a large bias in the estimated angle of each extended target, which affects the accuracy of the estimated angle of the closely spaced extended target. To solve this problem, this article proposes a closely spaced extended target angle estimation method under multiple observations. The proposed method utilizes the principle of invariance of extended target scattering characteristics between adjacent pulses to predict the scattering of extended target echoes and employs maximum likelihood estimation (MLE) to estimate the extended target angle. The effectiveness and feasibility of the proposed method are evaluated through experimental simulation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据