Radar Frequency-Bin Compression Across Antennas for Small-Target Detection
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Solution Overview
Problem
Radar systems face sensitivity losses during signal compression, particularly when multiple targets are present, as high-frequency and high-amplitude signals can mask lower amplitude signals, making it difficult to detect smaller targets like pedestrians.
Innovation Solution
The method involves generating time-based radar signals from multiple antennas, transforming them into frequency-based signals, and compressing data across antennas rather than within individual antennas, allowing for reduced bit representation of intensity values to minimize data loss and maintain sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If compression is applied across multiple range bins to reduce data storage requirements, then data compression ratio is improved, but signal sensitivity deteriorates due to high frequency signals masking lower amplitude signals
Solution Approach 1:
The patent segments the compression process by antenna, applying compression independently for each antenna's frequency bins rather than across all antennas together. This segmentation prevents high amplitude signals from one antenna from masking low amplitude signals from other antennas, thereby maintaining signal sensitivity while still achieving compression within each antenna's data stream.
Solution Approach 2:
The patent applies different compression strategies to different parts of the data structure. Full precision is maintained for the first antenna's data, while compressed representations are used for subsequent antennas. This local differentiation in data representation quality allows compression while preserving the ability to detect low amplitude signals that might otherwise be masked.
2Reliability
If full precision intensity values are stored for all antennas, then signal sensitivity is maintained, but memory cost increases
Solution Approach 1:
The patent merges the full precision data from the first antenna with compressed differential data from subsequent antennas. By combining the reference data (first antenna) with compressed representations (other antennas), the system achieves memory cost reduction while maintaining the ability to reconstruct full precision values when needed for sensitivity-critical operations.
Solution Approach 2:
The patent discards full precision intensity values for antennas beyond the first, storing only compressed differential representations. When full precision is required for signal detection, the system recovers the complete precision values by combining the stored differential data with the reference antenna's full precision data, thus achieving both memory efficiency and signal sensitivity.
3Productivity
If compression is applied to reduce data size, then productivity is improved, but measurement precision deteriorates due to loss of signal information
Solution Approach 1:
The patent creates a compressed copy of the intensity data structure that references the full precision data from the first antenna. Instead of storing redundant full precision copies for all antennas, it creates a lightweight compressed representation that can be combined with the reference copy to reconstruct full precision values when measurement accuracy is required, thus maintaining measurement precision while improving processing efficiency.
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
This approach reduces the likelihood of data loss and enhances the detection of smaller targets by maintaining signal integrity across antennas, improving the radar system's ability to handle multiple targets without compromising sensitivity.
Implementation Method 1
transforming each time-based radar signal of the time-based radar signals into a frequency-based radar signal
Data Source
AI summary
A method of handling radar signals of a radar system having a plurality of antennas is provided. The method may include generating a plurality of time-based radar signals based on a radar signal received by an associated antenna of the plurality of antennas, and transforming each time-based radar signal of the time-based radar signals into radar signals that each comprise a plurality of pairs of a frequency-based-value and an associated intensity value. The method includes storing the frequency-based-values and the intensity values of one frequency-based radar signal corresponding to one time-based radar signal of one antenna of the plurality of antennas; and storing each intensity value of the plurality of intensity values of another of the plurality of frequency-based radar signals based on a corresponding intensity value of the one frequency-based radar signal, wherein a stored representation of the intensity value of the other of the plurality of frequency-based radar signals has fewer bits than the corresponding stored intensity value.