Multi-Radar Sensor Spatial Correlation for SAR Latency
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Solution Overview
Problem
Current synthetic aperture radar (SAR) systems require a long distance and time to provide high-resolution environment information, leading to undesired latency due to the high computational effort needed for processing radar images pixel by pixel as the vehicle moves.
Innovation Solution
A method utilizing multiple radar sensors positioned at different locations on a vehicle, with their radiation directions angled to acquire environment information efficiently, allowing for temporal and spatial correlation of reception information to generate high-resolution environment information in a shorter distance and time, using time and location information for synchronization and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single radar sensor is used for SAR processing, then the computational effort is reduced, but the spatial resolution and environment information quality deteriorate
Solution Approach 1:
The patent divides the environment monitoring task into multiple segments by deploying several radar sensors at different positions on the vehicle. Each sensor captures a portion of the environment, and the processing unit combines these segmented data sets to form a complete high-resolution image, reducing the computational burden on a single processor while maintaining high spatial resolution
Solution Approach 2:
The patent transitions from a single-point measurement approach to a multi-dimensional approach by positioning radar sensors at multiple locations (front, rear, left, right) on the vehicle. This spatial distribution creates a three-dimensional measurement network that improves environment perception capability while distributing computational tasks across multiple sensors and processing units
2Measurement precision
If SAR processing is performed with high computational effort, then high-resolution environment information is achieved, but the time required increases leading to latency
Solution Approach 1:
The patent performs preliminary data preparation and preprocessing at multiple distributed radar sensors before the main SAR processing. Each sensor pre-processes its captured signals and transmits only essential data to the central processing unit, reducing the computational workload and processing time required for generating high-resolution environment information
Solution Approach 2:
The processing workflow is segmented into multiple stages: data acquisition at distributed sensors, preliminary processing at each sensor node, data transmission, and final SAR image reconstruction. This segmentation allows parallel processing of different data streams, significantly reducing the overall time required to generate high-resolution environment information while maintaining accuracy
3Area of stationary object
If multiple radar sensors are deployed at different positions, then the environment information coverage is improved, but the data processing complexity and synchronization requirements increase
Solution Approach 1:
The patent employs a universal processing framework that handles data from multiple radar sensors with different positions and orientations. The processing unit is designed to universally process signals from any sensor position, applying the same SAR algorithms and coordinate transformation methods regardless of the sensor's location on the vehicle, thereby managing complexity through standardization
Solution Approach 2:
The patent introduces a central processing unit as an intermediary that receives data from all distributed radar sensors, performs coordinate transformations to a common reference frame, and integrates the data streams. This intermediary layer manages the complexity of synchronizing and combining data from multiple sensors by providing a standardized interface and unified processing pipeline
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
Enables the rapid acquisition of high-resolution environment information as the vehicle travels a shorter distance, reducing latency by synchronizing and correlating reception information from multiple sensors using time and location data, thus enhancing the efficiency of SAR processing.
Implementation Method 1
radar signals are transmitted by the radar sensors, the radar signals being assigned to the radar sensors. Thereafter, reflected components of the radar signals assigned to the radar sensors are received at the respective radar sensors
Data Source
AI summary
A method for acquiring information in the spatial environment of a vehicle, comprising: providing at least two radar sensors arranged at different positions at the vehicle; transmitting radar signals by the radar sensors, the radar signals being assigned to the radar sensors; receiving reflected components of the radar signals assigned to the radar sensors at the respective radar sensors and further processing these reflected components of the radar signals as reception information; assigning time information to the reception information obtained from the respective radar sensors, the time information forming a time reference for the reception information; assigning location information to the reception information obtained from the respective radar sensors, the location information forming a location reference for the reception information; and processing the reception information obtained from the at least two radar sensors into common environment information by taking into account the time information and the location information.