Surroundings Sensor Simulation Device With Dynamic Signal Echo
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Solution Overview
Problem
Current surroundings sensor systems, such as radar and lidar, face challenges in simulating realistic signal echoes due to factors like object movement and air layers, which affect the plausibility and classification of detected objects, and existing simulation devices do not effectively replicate these conditions for testing purposes.
Innovation Solution
A simulation device that receives signals from surroundings sensor systems, processes them to generate a simulated signal echo with varying signal parameters like delay, frequency, and signal strength, and transmits these back to the system to mimic realistic object reflections, allowing for accurate testing and evaluation of sensor capabilities without actual deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing simulation devices generate signal echoes without variation, then the simulation is simple and easy to operate, but the simulation realism and plausibility checking capability deteriorates
Solution Approach 1:
The patent applies dynamics by introducing temporal variations to signal parameters. The simulation device dynamically modifies at least one signal parameter (delay, frequency, or signal strength) over time to replicate realistic echo behavior. This transforms the static simulation into a dynamic one that captures the natural fluctuations occurring in real-world sensor measurements, thereby improving simulation realism without requiring complete system redesign.
Solution Approach 2:
The patent directly implements parameter changes by varying at least one of the signal parameters (delay, frequency, or signal strength) of the generated echo. This allows the simulation to reflect realistic conditions where object movement and environmental factors cause continuous parameter fluctuations. The ability to independently control and vary these parameters provides both realism and flexibility in testing different scenarios.
2Measurement precision
If signal echoes are simulated without parameter variation, then the device complexity is low, but the object classification accuracy and plausibility assessment deteriorates
Solution Approach 1:
The patent applies dynamics by introducing temporal variations to signal parameters. The simulation device dynamically modifies at least one signal parameter (delay, frequency, or signal strength) over time to replicate realistic echo behavior. This transforms the static simulation into a dynamic one that captures the natural fluctuations occurring in real-world sensor measurements, thereby improving simulation realism without requiring complete system redesign.
Solution Approach 2:
The patent directly implements parameter changes by varying at least one of the signal parameters (delay, frequency, or signal strength) of the generated echo. This allows the simulation to reflect realistic conditions where object movement and environmental factors cause continuous parameter fluctuations. The ability to independently control and vary these parameters provides both realism and flexibility in testing different scenarios.
3Reliability
If realistic signal variations are simulated, then the testing capability and plausibility checking improve, but the ease of operation deteriorates
Solution Approach 1:
The patent directly implements parameter changes by varying at least one of the signal parameters (delay, frequency, or signal strength) of the generated echo. This allows the simulation to reflect realistic conditions where object movement and environmental factors cause continuous parameter fluctuations. The ability to independently control and vary these parameters provides both realism and flexibility in testing different scenarios.
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
Enables cost-effective and realistic simulation of various scenarios for surroundings sensor systems, including radar and lidar, enhancing their testing capabilities and object classification accuracy by replicating the effects of object movement and environmental influences.
Implementation Method 1
a receiving device that is configured to receive a first signal that is sent from the surroundings sensor system and to convert it into a first operating signal
Implementation Method 2
a transmitting device that is configured to convert the second operating signal into a second signal and to send the second signal to the surroundings sensor system
Data Source
AI summary
A simulation device and method for a surroundings sensor system configured to detect at least one particular object based on a respective signal echo. A receiving device configured to receive a first signal that is sent from the surroundings sensor system and to convert it into a first operating signal. A signal path that is connected to the receiving device for accepting the first operating signal, the signal path being configured to generate, via a first signal processing, a second operating signal that is a function of the first operating signal and the respective signal echo. The respective signal echo being characterized by at least one signal parameter. A second signal processing being provided to provide the at least one signal parameter with a variation. A transmitting device configured to convert the second operating signal into a second signal and to send the second signal to the surroundings sensor system.