Radar Echo Classification via Planar Continuity and Temporal Behavior Analysis
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Solution Overview
Problem
Radar devices face challenges in correctly identifying types of target objects, such as stationary and moving targets, and distinguishing them from sea surface reflections and radar interferences, due to the dynamic nature of echo data in polar coordinate systems.
Innovation Solution
A radar device with modules for detecting planar continuity and time-series behavior of echo data, determining the type of echo data based on these characteristics, and using color palettes to differentiate between target objects and interference, includes an antenna for transmitting and receiving detection signals, a continuity detecting module, a behavior data generating module, and an echo kind determining module to classify echoes as stationary targets, moving targets, sea surface reflections, or radar interferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar display methods are used to show echo data with various colors, then the display can show different data levels, but the system cannot correctly identify the kinds of target objects (stationary targets, moving targets, sea surface reflections, radar interferences)
Solution Approach 1:
The patent segments the echo data analysis by dividing it into multiple independent modules: a continuity detecting module that analyzes spatial continuity, a behavior data generating module that tracks temporal behavior, and an echo kind determining module that classifies targets. Each module handles a specific aspect of the analysis, making the overall system more manageable and accurate in identifying different target kinds.
Solution Approach 2:
The patent introduces a new dimension of analysis by examining echo data continuity in the spatial domain (adjacent pixels) and temporal domain (multiple scans). This multi-dimensional approach allows the system to distinguish between different target kinds by analyzing patterns across space and time, rather than relying on single-point measurements.
2Measurement precision
If the radar attempts to identify all types of target objects and interference, then the identification accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary analysis by generating continuity data and behavior data in advance before final target classification. The continuity detecting module and behavior data generating module prepare processed data that the echo kind determining module can use for rapid classification, reducing the computational burden during real-time operation.
Solution Approach 2:
The system uses the natural temporal and spatial patterns inherent in the radar echo data itself to perform classification. By analyzing the self-contained characteristics of echo continuity and temporal behavior, the system achieves accurate identification without requiring external reference data or complex manual intervention.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables accurate identification and differentiation of target objects and interference by analyzing planar and time-series characteristics of echo data, improving the display and interpretation of radar data with distinct color representations.
Implementation Method 1
an antenna (1), from which a detection signal is transmitted while the antenna (1) is rotated and by which a reflective wave of the transmitted detection signal is received to detect echo data
Data Source
AI summary
A radar device includes an antenna, from which a detection signal is transmitted while the antenna being rotated and by which a reflective wave of the transmitted detection signal is received to detect echo data, wherein image data is generated based on the detected echo data, a continuity detecting module for detecting a planar continuity of the currently detected echo data with respect to a pixel concerned in the image data, a behavior data generating module for generating behavior data indicative of a behavior of the echo data for a predetermined number of scans of the past in the pixel concerned based on behavior determination data, and an echo kind determining module for determining a kind of the echo data of the pixel concerned based on the planar continuity and the behavior data.