Distributed Radar Data Reconstruction for Lower Bandwidth Links
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Solution Overview
Problem
Radar systems with distributed processing face high data transmission demands between devices, requiring excessive bandwidth and additional connections due to the large amount of data needed for accurate position and velocity estimation of target objects.
Innovation Solution
Implementing a radar system with a first radar processing device that omits parts of the radar data and uses a machine learning model in a second radar processing device to reconstruct the omitted data, reducing the data transmission load by using data compression and reconstruction techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all radar data is transmitted between processing devices, then accurate position and velocity estimation is achieved, but bandwidth requirements and data transmission load increase excessively
Solution Approach 1:
The patent extracts only the essential radar data components needed for accurate position and velocity estimation, separating critical data from redundant information. This selective extraction reduces data transmission volume while preserving measurement precision by transmitting only the most relevant data elements between processing devices.
Solution Approach 2:
The patent segments radar data into different categories based on their importance for position and velocity estimation. By dividing the data stream into essential and non-essential components, the system transmits only the necessary segments, reducing overall data volume while maintaining estimation accuracy through targeted data transmission.
2Productivity
If distributed processing is implemented across multiple devices, then processing capability is improved, but interface bandwidth requirements increase
Solution Approach 1:
The patent extracts and transmits only the critical radar data elements required for distributed processing tasks, rather than transmitting complete data sets. This extraction approach enables distributed processing across multiple devices while significantly reducing the data load on inter-device interfaces.
3Quantity of substance
If high bandwidth connections are provisioned for data transmission, then data transmission capacity is sufficient, but system complexity and cost increase
Solution Approach 1:
The patent extracts and transmits only the essential radar data components, which reduces the required transmission capacity. This approach eliminates the need for high bandwidth connections, thereby reducing system complexity and cost while still providing sufficient data transmission capacity for accurate position and velocity estimation.
Data Source
AI summary
According to various embodiments, a radar system is described including a first radar processing device and a second radar processing device, wherein the first radar processing device is configured to generate radar data and to transmit the radar data partially to the second radar processing device for further processing, wherein the first radar processing device is configured to omit parts of the radar data from the transmission and wherein the second radar processing device is configured to reconstruct the omitted parts using a machine learning model trained to supplement radar data with additional radar data and is configured to further process the transmitted parts of the radar data in combination with the additional radar data.