Radar Data Reconstruction for Lower-Bandwidth Distributed Processing
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Solution Overview
Problem
Radar systems with distributed processing face high data transmission demands between devices, requiring significant bandwidth that is challenging to meet, especially in vehicle applications.
Innovation Solution
Implementing a mechanism where a first radar processing device omits parts of the radar data and uses a machine learning model in a second device to reconstruct the omitted data, reducing the amount of data transferred and optimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar data is transmitted completely between distributed processing devices, then processing accuracy is maintained, but bandwidth requirements increase significantly
Solution Approach 1:
The patent extracts and transmits only a subset of radar data (e.g., every second or third data point) between distributed processing devices, removing redundant information that can be reconstructed later. This reduces the quantity of transmitted data while maintaining processing accuracy through subsequent reconstruction algorithms.
Solution Approach 2:
The patent changes the data representation parameters by applying compression algorithms, dimensionality reduction techniques, or encoding schemes that represent the same information more efficiently. This allows maintaining processing accuracy with reduced data transmission volume.
2Quantity of substance
If radar data is compressed to reduce transmission load, then bandwidth requirements decrease, but data reconstruction complexity increases
Solution Approach 1:
The patent performs preliminary compression and selective omission of data points before transmission, preparing the data in advance for efficient transmission. The receiving device then applies predetermined reconstruction algorithms that are designed to recover the original data pattern, balancing compression benefits with manageable reconstruction complexity.
Solution Approach 2:
The patent creates simplified copies or representations of the radar data for transmission, where essential information is preserved in a compressed form. The receiving device reconstructs the full data set by combining received copies with reconstruction algorithms, reducing transmission load while maintaining data integrity.
3Quantity of substance
If selective data transmission is implemented, then transmission bandwidth is reduced, but information completeness may be compromised
Solution Approach 1:
The patent implements feedback mechanisms where the receiving device verifies the quality and completeness of reconstructed data, and can request retransmission of specific data points if reconstruction accuracy is insufficient. This ensures information completeness while still benefiting from reduced transmission bandwidth through selective data omission.
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.