基于DBS 图像的双通道广域监视雷达动目标检测和参数估计方法

基金项目: null

A Novel Method of Moving Target Detection and Parameters Estimation for Dual-channel WAS Radar Based on DBS Image

1.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
2.
Graduate University of the Chinese Academy of Sciences, Beijing 100039, China)

Funds: null

摘要: 该文提出了一种基于高分辨率多普勒波束锐化图像的适用于双通道广域监视雷达系统的地面动目标检测、定位和测速方法。首先，分析了广域监视雷达系统的回波特性，给出了杂波抑制和参数估计算法。然后，针对双通道参数估计精度低的问题，提出了提高动目标参数估计精度的算法。最后，针对参数估计时模糊严重的问题，给出了有效的解模糊算法。仿真数据和实际飞行数据证明了该文方法的有效性。
- 广域监视(WAS)雷达 /
- 动目标检测 /
- 参数估计 /
- 解模糊 /
- 多普勒波束锐化(DBS)
Abstract: In the paper, a method of moving target detection and parameters estimation is proposed used for dual channels Wide Area Surveillance (WAS) radar based on high resolution Doppler Beam Sharpen (DBS) image. First, it analyzes characteristics of clutter and moving target return, and presents the ways of clutter suppression and moving target parameters estimation. Then, an approach to decrease errors of parameters estimation is proposed. At last, an effective approach to resolve the ambiguity caused during estimating moving targets parameters is proposed. The effectiveness of the presented method is demonstrated by both simulated data and real data.
- Wide Area Surveillance (WAS) radar /
- Moving target detection /
- Parameters estimation /
- De-ambiguity /
- Doppler Beam Sharpen (DBS)