Radar Target Detection via Multi-Dimensional Cluster Processing
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Solution Overview
Problem
Current radar systems treat radar echoes from multi-dimensional clusters of reflectors as individual dimensions, leading to increased false detections due to noise interference, as they do not effectively consider all dimensions together.
Innovation Solution
A radar target detection system that processes multi-dimensional point spread functions from radar echoes, considering three or more dimensions to perform object detection, thereby reducing false detection probabilities by analyzing the interrelation among these dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If radar systems treat each dimension of the spread function individually, then processing complexity is reduced, but false detection probability increases due to noise interference
Solution Approach 1:
The patent combines multiple dimensions of the spread function (range, azimuth, elevation, Doppler, intensity) into a unified multi-dimensional processing framework. By merging these dimensions rather than processing them separately, the system creates a more comprehensive target representation that reduces false detections while maintaining manageable complexity through structured integration of the dimensional data.
Solution Approach 2:
The patent transitions from processing two-dimensional spread functions to processing multi-dimensional spread functions by adding additional dimensions (elevation, Doppler, intensity) to the traditional range-azimuth plane. This dimensional expansion allows the system to distinguish true targets from noise more effectively by analyzing patterns across multiple dimensions simultaneously.
2Measurement precision
If radar systems consider all dimensions together for object detection, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent segments the multi-dimensional processing task into distinct stages: first obtaining the cluster of multi-dimensional point spread functions from radar echoes, then performing object detection based on three or more dimensions. This segmentation allows the system to handle complexity in manageable steps while still achieving improved detection accuracy through comprehensive dimensional analysis.
Solution Approach 2:
The patent changes the processing parameters from traditional two-dimensional analysis to multi-dimensional analysis by incorporating at least three dimensions (range, azimuth, and one additional dimension such as elevation, Doppler, or intensity). This parameter change enables more accurate target detection by utilizing the full multi-dimensional information available in the radar data.
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
This approach enhances detection accuracy by constraining potential matches and decreasing false detections, as the consideration of multiple dimensions narrows down possible targets and reduces noise interference effects.
Implementation Method 1
radar systems use radio waves to determine the range, altitude, direction, or speed of detected objects
Implementation Method 2
Radio detection and ranging (radar) systems are widely used for object detection
Data Source
AI summary
A target detection system and a method of performing radar target detection are described. The system includes a radar system to obtain radar echoes from a target with multiple point reflectors. The system also includes a processor to obtain a cluster of multi-dimensional point spread function from the radar echoes, each multi-dimensional point spread function being associated with a reflection from one of the multiple point reflectors, and also to perform object detection based on three or more dimensions of each of the multi-dimensional point spread functions of the cluster.