Distributed Radar Aperture Synthesis via Phase Correction
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Solution Overview
Problem
Current radar technologies used in autonomous vehicles face limitations in angular resolution, detection range, and signal-to-noise ratio, which hinder their ability to effectively discriminate between objects in complex environments, particularly when operating at lower autonomy levels.
Innovation Solution
The implementation of a distributed radar antenna array aperture system utilizing multiple MIMO radar sensors with overlapping fields of view, which synthesizes a larger virtual array through phase correction and beamforming operations to enhance angular resolution, detection range, and signal-to-noise ratio, allowing for improved object discrimination and vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple MIMO radar sensors with overlapping fields of view are used to synthesize a distributed radar antenna array aperture, then angular resolution and detection range are enhanced beyond individual sensor capabilities, but system complexity increases due to phase correction and beamforming operations
Solution Approach 1:
The patent combines multiple MIMO radar sensors into a distributed array configuration, merging their individual fields of view to create a unified sensing aperture. This merging enables the system to achieve angular resolution and detection range beyond what any single sensor could provide, directly resolving the contradiction by sacrificing system complexity for improved measurement precision through collaborative fusion of multiple sensors.
Solution Approach 2:
The patent transitions from individual sensor coordinate systems to a unified distributed array coordinate system, adding a new dimensional framework for processing radar data. By establishing a common reference frame and applying phase corrections across the distributed sensors, the system creates an enhanced virtual aperture that improves angular resolution without requiring each individual sensor to be overly complex.
2Reliability
If multiple radar sensors are synthesized into a distributed array, then detection range and signal-to-noise ratio are improved, but processing requirements and computational complexity increase
Solution Approach 1:
The patent applies phase corrections to each radar sensor's data before combining them into the distributed array, performing preliminary alignment actions that simplify subsequent processing. By pre-compensating for phase errors and temporal mismatches, the system reduces the computational burden during the synthesis process while still achieving improved signal-to-noise ratio and detection range through the combined array effect.
Solution Approach 2:
The patent introduces an intermediary processing layer that handles the complexity of coordinating multiple sensors. This intermediary layer manages the phase corrections, beamforming operations, and data fusion processes, allowing the distributed array to achieve enhanced reliability without requiring each individual sensor or processing unit to handle the full complexity alone.
3Ease of manufacture
If radar sensors operate with insufficient angular resolution individually, then cost and simplicity are maintained, but ability to discriminate objects in complex environments is limited
Solution Approach 1:
The patent segments the radar system into multiple simpler MIMO sensors, each capable of operating with standard angular resolution limitations. By dividing the overall sensing function across multiple independent but coordinated sensors, the system achieves high collective angular resolution while keeping each individual sensor simple and cost-effective, directly resolving the contradiction between sensor simplicity and measurement precision.
Solution Approach 2:
The patent creates a universal distributed array framework that can accommodate multiple types of MIMO radar sensors with varying individual capabilities. This universal approach allows the system to achieve high angular resolution through collaboration while maintaining the simplicity and versatility of individual sensor designs, enabling the same architecture to work with different sensor configurations and application requirements.
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 enables radar sensors with insufficient angular resolution to effectively operate in autonomous vehicle environments, enhancing the vehicle's ability to accurately detect and differentiate objects, thereby improving the reliability and safety of autonomous vehicle control systems.
Implementation Method 1
applying a phase correction that compensates for temporal or spatial mismatches between the first and second radar sub-arrays
Implementation Method 2
performing a beamforming operation on one or more points in the first or second point data after the phase correction is applied
Implementation Method 3
radar, which is based on the emission, reflection and sensing of radio wave electromagnetic radiation within an environment to detect, and in some instances, determine the position and velocity of various objects within the environment
Data Source
AI summary
A vehicle radar system utilizes multiple radar sensors having overlapping fields of view to effectively synthesize a distributed radar antenna array aperture from the outputs of the multiple radar sensors and effectively enhance one or more of angular resolution, detection range and signal to noise ratio beyond that supported by any of the radar sensors individually.