Saliency-Based Beamforming for Adaptive Radar Scanning
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Solution Overview
Problem
Current radar and lidar scanning devices lack the ability to adjust resolution and focus scans efficiently on interested regions, leading to low resolution and long processing times due to limited processing power and uniform scanning approaches.
Innovation Solution
The implementation of a method that performs an initial scan to generate a saliency map, allowing the device to reallocate resources and focus on high-intensity regions for subsequent scans, either by maintaining scan iterations or increasing resolution in salient areas, using beamforming techniques to digitally steer the antenna array.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform scanning is performed over the entire target region, then complete coverage is achieved, but processing time increases and resolution decreases due to limited processing power
Solution Approach 1:
The patent applies local quality by generating a saliency map that identifies regions with different importance levels, then performing scans at different resolutions for different regions. High-salience regions receive high-resolution scanning while low-salience regions receive low-resolution scanning, optimizing both processing time and resolution locally rather than uniformly across the entire scene.
Solution Approach 2:
The patent segments the target region into multiple zones based on the saliency map, dividing it into high-salience regions, low-salience regions, and intermediate regions. Each segment is then scanned with appropriate resolution and scan iteration counts, allowing the system to focus processing power on important regions while reducing processing on less important areas.
2Measurement precision
If high resolution scanning is performed over the entire target region, then detection accuracy improves, but processing power requirements exceed device capabilities
Solution Approach 1:
The system applies local quality by determining different scan iteration counts and resolutions for different regions based on their salience. High-salience regions that require high detection accuracy receive more scan iterations and higher resolution, while low-salience regions receive fewer iterations and lower resolution, matching processing resources to actual detection needs.
Solution Approach 2:
The patent applies partial action by performing high-resolution scanning only on high-salience regions rather than the entire target region. The scan iterations and resolution are adjusted locally based on saliency, providing sufficient detection accuracy for important regions while avoiding excessive processing power consumption in low-importance areas.
3Productivity
If the scanning device focuses on specific regions of interest, then scan efficiency improves, but the device lacks the capability to dynamically adjust resolution and focus without additional hardware
Solution Approach 1:
The patent applies preliminary action by performing an initial low-resolution scan to generate the saliency map before performing the main high-resolution scan. This preliminary scan identifies regions of interest, allowing the subsequent scan to focus resources on those areas, thereby achieving adaptive scanning efficiency without requiring additional hardware.
Solution Approach 2:
The system achieves adaptability by dynamically changing scan parameters (resolution, scan iteration count, focal regions) based on the generated saliency map. The processing device adjusts these parameters according to the identified salient regions, enabling adaptive scanning behavior through software-based parameter modification rather than hardware changes.
Data Source
AI summary
A scanning device generally produces an image having a uniform resolution throughout a target region. To improve radar scanning/lidar scanning, an efficient scan approach to enable a radar device/lidar device to adoptively perform a scan of a target region based on interested regions and/or an adjustable resolution. The apparatus may be a scanning device for scanning. The apparatus performs a first scan over a target region to obtain a plurality of first scan samples at a plurality of locations within the target region. The apparatus generates a saliency map of the target region based on signal intensities of the plurality of first scan samples. The apparatus determines a salient region within the target region based on the saliency map. The apparatus performs at least one second scan over the salient region to obtain at least one second scan sample in the salient region.