一种基于黎曼协方差拟合的水下目标直接定位方法、程序、设备及存储介质
By redefining the target localization method as a covariance fitting problem and using the log-Euclidean distance from the Riemann metric as the fitting criterion, the problem of positioning accuracy under low signal-to-noise ratio conditions is solved, achieving high-precision and stable target localization results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENGINEERING UNIVERSITY SANYA NANHAI INNOVATION & DEVELOPMENT BASE
- Filing Date
- 2026-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from a significant decline in target localization performance under low signal-to-noise ratio conditions in complex marine environments, making it difficult to guarantee positioning accuracy.
The direct positioning method is redefined as a covariance fitting problem. The log-Euclidean distance in the Riemann metric is used as the fitting criterion. The target position estimate is obtained by solving the fitting optimization problem, and signal processing is performed using a distributed detection system and a uniform linear array.
It improves target positioning accuracy under low signal-to-noise ratio conditions, avoids data correlation problems, achieves high-precision target positioning, and exhibits excellent resolution and stability in multi-target scenarios.
Smart Images
Figure CN122218606B_ABST