Radar Signal Evaluation for Overlapping Sensor Ranges
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Solution Overview
Problem
Conventional locating systems using multiple radar sensors with overlapping ranges face limitations in accurately detecting and separating objects within the same distance cell, leading to reduced accuracy and reliability in traffic surroundings detection.
Innovation Solution
A method that evaluates signals from multiple radar sensors to classify object configurations in greater detail, allowing for improved separability and dynamic range by using additional sensors to determine distance ranges and perform separate angle estimations, and characterizing objects based on radar cross-sections from different angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional multilateration method is used with multiple radar sensors, then object location can be achieved, but accuracy and reliability of detecting traffic surroundings is limited due to inability to separate objects in the same distance cell
Solution Approach 1:
The patent segments the detection space by introducing angular resolution within distance cells. Instead of treating each distance cell as a single unit, the method divides it into multiple angular sectors using antenna beamforming techniques. This allows objects within the same distance cell to be separated based on their different angular positions, thereby improving both measurement precision and reliability of object detection.
Solution Approach 2:
The patent adds an angular dimension to the traditional one-dimensional distance measurement. By incorporating angle-of-arrival information through array antenna processing, the system transforms the detection space from a simple distance axis to a two-dimensional (distance, angle) space. This dimensional expansion enables differentiation of objects that would otherwise be indistinguishable in the same distance cell.
2Area of stationary object
If multiple radar sensors with overlapping ranges are used, then coverage area is increased, but difficulty in separating objects in overlapping regions increases
Solution Approach 1:
The patent uses angular information as an intermediary parameter to resolve conflicts in overlapping detection regions. When multiple radar sensors detect objects in overlapping distance ranges, the system introduces angular position data from array antenna processing to distinguish between different objects. This intermediary parameter enables reliable separation and identification of objects even in regions where distance measurements alone are insufficient.
3Ease of manufacture
If distance space is divided into discrete distance cells, then digital signal processing is simplified, but objects in the same distance cell cannot be distinguished from one another
Solution Approach 1:
The patent segments each distance cell into multiple angular sub-regions using beamforming techniques. While maintaining the discrete distance cell structure for simple range gating, the method further divides each cell into angular sectors defined by antenna beam patterns. This hierarchical segmentation preserves the simplicity of digital signal processing while enabling distinction between objects in the same distance cell through their different angular positions.
Solution Approach 2:
The patent applies different processing strategies to different regions of the detection space. Within each distance cell, the system applies angular resolution processing selectively based on the number and position of detected objects. This local quality approach maintains processing simplicity in regions with single objects while activating advanced angular separation techniques only where needed, thus balancing ease of implementation with measurement precision.
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
Enhances the accuracy and reliability of object detection by distinguishing between single and multiple targets, improving angular quality and enabling more precise identification of object types, while also allowing for self-testing and error correction in the locating system.
Implementation Method 1
The radar sensors installed in motor vehicles typically detect the distances, relative speeds, and azimuth angles
Implementation Method 2
FMCW radar sensors are common in which the frequency of the transmitted radar signal is ramp-shaped modulated
Implementation Method 3
The received radar echo is then mixed with a portion of the instantaneously transmitted signal, so that in an intermediate frequency band a beat signal is obtained
Implementation Method 4
the influence of the relative speed of the object, caused by the Doppler effect, on the frequency position also cannot be ignored
Implementation Method 5
When the radar echo does not strike this straight line at a right angle, propagation time differences from antenna element to antenna element result, which for the particular direction angle of the object result in a characteristic distribution of the (complex) amplitude
Data Source
AI summary
A method for signal evaluation in a locating system that includes multiple radar sensors whose locating ranges overlap one another. The method includes evaluating the signal of a first of the radar sensors and identifying distance cells that are not empty, for at least one of these distance cells: selecting a second of the radar sensors and determining a distance range in which the objects situated in the distance cell would have to be situated from the viewpoint of the second radar sensor, and classifying the object configuration in the distance range, based on the signal of the second radar sensor.