Radar Detection Threshold Generation Using Frequency Domain Percentiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle radar systems face challenges in accurately detecting obstacles in blind spots and proximity to vehicles, especially under adverse environmental conditions such as rain, snow, and darkness, due to limitations in current detection threshold generation methods.
Innovation Solution
A method and system for generating a radar detection threshold by transmitting RF signals, receiving composite signals, converting them to baseband signals, transforming into frequency domain signals, computing percentile values, and using these values to generate a detection threshold, which allows for accurate obstacle detection in various environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radar detection threshold methods are used, then the system structure remains simple, but the detection accuracy and reliability deteriorate under adverse environmental conditions
Solution Approach 1:
The patent performs preliminary actions by collecting radar return signals during a calibration phase before actual detection begins. Multiple frequency domain signals are acquired and processed in advance to establish baseline statistics (mean and standard deviation) that will be used for threshold generation during operation, enabling reliable detection without complex real-time adjustments
Solution Approach 2:
The detection threshold is made dynamic rather than static. The system continuously updates the threshold based on real-time statistical analysis of received signals, adapting to changing environmental conditions such as rain, snow, or clutter. This dynamic adjustment maintains high detection reliability without requiring complex manual intervention
2Area of stationary object
If convex mirrors are used to improve blind spot visualization, then the view area increases, but the distance measurement accuracy deteriorates
Solution Approach 1:
The patent replaces the mechanical/optical mirror system with an electronic radar-based detection system. Instead of relying on convex mirrors that distort visual perception of distance, the system uses radio frequency signals to directly measure distance to objects in blind spots, providing accurate range information without the geometric distortions inherent in curved mirror reflections
3Adaptability or versatility
If mirrors are used for blind spot detection, then object detection capability is provided, but the detection accuracy deteriorates during rain, snow, or darkness
Solution Approach 1:
The radar system provides universal detection capability that works across all weather and lighting conditions. Unlike optical mirrors that depend on visible light and are affected by rain, snow, or darkness, the radio frequency radar signals can penetrate and reflect off objects regardless of environmental conditions, providing consistent detection performance in all scenarios
Solution Approach 2:
The system changes the detection parameter from optical reflection (mirrors) to electromagnetic wave reflection (radar). By using radio frequency signals with wavelengths that can penetrate atmospheric conditions like rain and snow, the system maintains reliable detection capability where optical systems fail, effectively adapting to adverse environmental parameters
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 system provides a reliable and accurate detection of obstacles in a vehicle's blind spots and proximity, with a well-defined detection zone ensuring high probability of detection within the zone and low probability outside, effectively addressing the limitations of existing systems.
Implementation Method 1
transmitting a plurality of radio frequency (RF) signals
Implementation Method 2
receiving a plurality of composite signals including at least one of received RF signals and noise signals
Implementation Method 3
converting the plurality of composite signals to provide a plurality of baseband signals
Implementation Method 4
transforming the plurality of baseband signals to the frequency domain to provide a respective plurality of frequency domain signals
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for generating a radar detection threshold includes computing a first plurality of percentile values associated with frequency domain values of frequency domain signals. The first plurality of percentile values is used to generate detection threshold values. Apparatus for generating a radar detection threshold includes a first percentile processor adapted to compute a first plurality of percentile values associated with frequency domain values of frequency domain signals. A threshold processor is adapted to use the plurality of percentile values to generate detection threshold values.