Radar Clutter Suppression via Speed-Selective Azimuth Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional meteorological radar systems face challenges in accurately calculating rain amounts due to the suppression of both static clutter components and slowly moving echo components, leading to degraded observation accuracy.
Innovation Solution
A clutter suppressing device that selectively suppresses echo data from static objects by filtering based on predetermined speed ranges, allowing slowly moving observation targets to be preserved, utilizing a filter configuration that weights and sums echo data in the azimuth direction to differentiate between static and moving targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If MTI processing is used to suppress static clutter components, then static clutter suppression is improved, but echo components of slowly moving targets are also suppressed
Solution Approach 1:
The patent applies dynamics by making the filter characteristics adjustable and adaptable. The system dynamically selects filter types (first filter for static clutter, second filter for moving targets) and adjusts filter parameters based on detection results, allowing the clutter suppression system to adapt its behavior to different target conditions rather than using fixed MTI processing characteristics.
Solution Approach 2:
The patent changes filter parameters to resolve the contradiction. By switching between different filter types with different frequency characteristics and adjusting filter coefficients, the system can selectively suppress static clutter (zero velocity) while preserving slowly moving echo components, thereby improving rain amount calculation accuracy without losing target information.
2Object-affected harmful factors
If conventional signal processing suppresses all low frequency components, then static clutter is reduced, but observation accuracy of slow-moving targets deteriorates
Solution Approach 1:
The patent segments the frequency spectrum processing by applying different filter types to different frequency ranges. The first filter processes low frequency components (suppressing static clutter), while the second filter processes higher frequency components (preserving moving targets). This segmentation allows selective suppression of harmful static clutter while maintaining reliability for observing slow-moving meteorological targets.
Solution Approach 2:
The patent introduces an intermediary detection mechanism that identifies whether a target is stationary or moving before applying suppression. This intermediary step (detection unit) mediates between the need to suppress clutter and the need to preserve target echoes, allowing the system to apply appropriate filtering based on the detected target state.
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3B
AI summary
A clutter suppressing device (20, 40) for suppressing echo data of reflection waves caused by radar transmission signals reflecting on a static object is provided. Each of the radar transmission signals is transmitted at a predetermined azimuth from a radar antenna at a predetermined time interval. The clutter suppressing device (20, 40) includes an echo data memory (211) configured to sequentially store a plurality of echo data of reflection waves caused by the radar transmission signals reflecting on objects, a filter (21, 22) configured to select, from the plurality of echo data, a data row in the azimuth direction for a predetermined distance, and suppress, in the data row, echo data of a target object moving at a speed within a predetermined range, and a suppression echo data output unit (214) configured to output suppression echo data containing the echo data suppressed by the filter (21, 22).