Radar Signal Selection Using Phase Change Amounts
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Solution Overview
Problem
Conventional radar systems face challenges in accurately selecting and tracking targets due to unstable signal information and loss or misidentification of objects with similar shapes and sizes, especially when objects are close or within sea surface reflection ranges, leading to issues like 'lost' and 'swop' tracking errors.
Innovation Solution
A signal selecting device that includes a transceiver for repeatedly transmitting electromagnetic waves, a target candidate detecting module for echo signal analysis, and an object selecting module that calculates phase change amounts between echo signals from different azimuths to accurately identify and track targets based on phase change and position correlation, ensuring consistent target recognition even with low signal levels or in cluttered environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional target selection methods (Nearest Neighbor Method or correlation-based comparison) are used, then the system can select target objects from multiple reflective objects, but the target candidate information becomes unstable between scans causing lost or swop tracking errors
Solution Approach 1:
The patent changes the selection parameter from position-only comparison to phase change amount comparison. By using phase change amounts (which reflect velocity information) as the basis for target selection instead of just position correlation, the system achieves more stable target tracking. The phase change amount is calculated from echo signals at different azimuths but substantially the same distance, providing a new dimension for target identification that remains consistent across scans.
2Ease of operation
If signal binarization with threshold is applied, then processing simplicity is improved, but small objects with low signal levels are not recognized and tracking accuracy deteriorates
Solution Approach 1:
The patent changes the detection parameter from signal level (amplitude) to phase change amount. Instead of relying on signal intensity which causes small objects to be missed, the system uses phase change amounts derived from echo signals. This parameter transformation allows detection of objects regardless of their signal strength, as long as they produce measurable phase changes between different azimuth scans.
3Quantity of substance
If conventional position-based target selection is used, then the system can identify objects in each scan, but objects with similar shapes and sizes close to each other cannot be distinguished causing lost and swop errors
Solution Approach 1:
The patent adds a new dimension for object discrimination by using phase change amounts from different azimuths. Instead of relying solely on position and basic object properties, the system incorporates phase information from multiple azimuthal perspectives. This dimensional expansion allows differentiation of objects with similar characteristics by their unique phase change patterns across different viewing angles.
4Area of stationary object
If target selection is performed in sea surface reflection ranges, then coverage area is improved, but target candidate information becomes unstable due to clutter and reflection interference
Solution Approach 1:
The patent changes the selection criterion from position correlation to phase change amount comparison. In sea surface reflection ranges where clutter creates false position matches, the phase change amount provides a more reliable discriminator. Since genuine targets produce consistent phase change patterns across scans while clutter does not, this parameter change enables reliable target identification even in challenging environmental conditions with sea surface reflections.
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 enhances target selection accuracy, preventing 'lost' and 'swop' errors, and allows recognition of objects with low signal levels, improving tracking performance even when objects are close or within sea surface reflections.
Implementation Method 1
a transceiver 2 for repeatedly transceiving electromagnetic waves
Data Source
AI summary
A signal selecting device is provided. The signal selecting device includes a transceiver for repeatedly transceiving electromagnetic waves, a target candidate detecting module for detecting a plurality of objects based on echo signals received by the transceiver, a phase change amount calculating module for calculating a phase change amount between two echo signals from two positions of which distances from the transceiver are substantially the same but azimuths from the transceiver are different, and an object selecting module for selecting a predetermined object among the plurality of objects detected by the target candidate detecting module in a first scan based on a phase change amount of the object, the predetermined object being the same object as an object selected by the object selecting module in a second scan that is performed before the first scan.