Vehicle Radar Interferometry for Target Accuracy
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Solution Overview
Problem
Current vehicle sensing systems, particularly those using radar sensors, face limitations in target accuracy and tracking performance due to constraints in Doppler velocity and angular estimation, especially at lower Signal-to-Noise Ratios (SNR).
Innovation Solution
The system employs a radar sensor module with multiple transmitting and receiving antennas, utilizing coherent integration across multiple scans to generate a virtual array, enhancing angular resolution and Doppler velocity estimation by increasing scan integration time and using interferometric data to refine target positioning and velocity calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple transmitting and receiving antennas are used to improve angular resolution and Doppler velocity estimation, then target accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the sensing function across multiple transmitting antennas and receiving antennas, with each antenna element contributing to the overall target detection and measurement. This segmentation enables parallel signal processing and improves angular resolution through spatial diversity while distributing the complexity across multiple simpler antenna elements rather than requiring a single complex sensor
Solution Approach 2:
The patent transitions from single-scan two-dimensional detection to multi-scan three-dimensional virtual array processing. By adding the time dimension through multiple scans and utilizing the vehicle's motion between scans, the system creates a virtual array that extends beyond the physical antenna configuration, improving measurement precision without proportionally increasing physical device complexity
2Measurement precision
If scan integration time is increased to enhance Doppler velocity and angular estimation, then target accuracy is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by collecting radar data from multiple scans in advance before final target parameter estimation. The virtual array is constructed using data from previous scans, allowing the system to leverage historical measurement data to improve current target accuracy without requiring extended real-time integration periods
Solution Approach 2:
The system maintains continuous useful action by performing overlapping scans where data collection occurs continuously across multiple scan periods. The vehicle's continuous motion between scans provides ongoing spatial baseline changes, allowing uninterrupted accumulation of interferometric data that improves Doppler velocity estimation without idle integration time
3Measurement precision
If virtual array is generated using vehicle position change between scans to improve angular resolution, then target accuracy is improved, but reliability depends on vehicle motion stability
Solution Approach 1:
The system implements feedback by using the vehicle's actual measured position and orientation changes between scans to correct and refine the virtual array geometry. The known vehicle motion parameters feed into the interferometric processing to compensate for any deviations, ensuring that the virtual array construction remains accurate and reliable even with minor vehicle motion variations
Solution Approach 2:
The system dynamically adjusts processing parameters based on the vehicle's motion characteristics. By changing the integration window, scan pairing strategy, and virtual array geometry according to the actual vehicle position changes between scans, the system optimizes angular resolution while maintaining reliability across varying driving conditions
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 significantly improves target accuracy and tracking performance by enhancing Doppler velocity and angular estimation, allowing for precise localization of targets and improved tracker performance, even at lower SNR conditions.
Implementation Method 1
at least one radar sensor disposed at the vehicle and having a field of sensing exterior of the vehicle
Implementation Method 2
target Doppler velocity and angular estimation in azimuth and elevation angles
Implementation Method 3
coherent integration across multiple scans to generate a virtual array, enhancing angular resolution and Doppler velocity estimation by using interferometric data
Data Source
AI summary
A sensing system for a vehicle includes at least one radar sensor disposed at the vehicle and having a field of sensing exterior of the vehicle. The at least one radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit signals and the receiving antennas receive the signals reflected off objects. Multiple scans of radar data sensed by the at least one radar sensor are received at a control, and a vehicle motion estimation is received at the control. The control, responsive to received scans of sensed radar data, detects the presence of one or more objects exterior the vehicle and within the field of sensing of the at least one radar sensor. The control, responsive to the received scans of sensed radar data and the received vehicle motion estimation, matches objects detected in the scans and determines angles toward the detected objects.