Adaptive Vehicle Radar Beamforming Control
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Solution Overview
Problem
Vehicle radars face limitations in detecting target objects due to limited space, cost, and performance, resulting in incomplete detection coverage and resolution, leading to missed detections in various environments.
Innovation Solution
A vehicle radar control method that adapts by determining and adjusting radar modes based on environmental information, using digital, analog, or hybrid beamforming modes, and controlling antenna arrays to optimize detection range, elevation, and resolution, thereby enhancing target detection capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar uses a fixed configuration with limited antennas, then the device complexity and cost are reduced, but the detection coverage, range, and resolution are insufficient
Solution Approach 1:
The radar system dynamically switches between different beamforming modes (digital, analog, hybrid) based on environmental conditions and detection requirements. The controller selects the appropriate mode according to real-time needs, making the system adaptable rather than static. This resolves the contradiction by providing high detection capability when needed while allowing simpler operation in standard conditions.
Solution Approach 2:
The radar system is designed to perform multiple functions through a single antenna array by implementing different beamforming techniques. The same physical hardware can operate in digital beamforming mode for high-resolution detection, analog beamforming mode for extended range, or hybrid mode for balanced performance. This multi-functionality eliminates the need for multiple separate radar systems, reducing overall device complexity while maintaining comprehensive detection capability.
2Adaptability or versatility
If the radar switches between multiple beamforming modes, then the adaptability to different environments is improved, but the control complexity and processing time increase
Solution Approach 1:
The system changes operational parameters (beamforming mode, antenna activation pattern, radiation pattern characteristics) based on environmental conditions. The controller monitors detection requirements and adjusts system parameters accordingly, switching between digital, analog, and hybrid beamforming modes. This parameter-based adaptation provides environmental versatility while maintaining manageable control complexity through systematic mode selection rather than arbitrary adjustments.
3Measurement precision
If the radar uses digital beamforming mode, then the angular resolution and detection precision are improved, but the computational load and processing complexity increase
Solution Approach 1:
The radar system dynamically selects digital beamforming mode specifically when high angular resolution and detection precision are required, rather than operating in this mode continuously. The controller assesses environmental conditions and switches to digital beamforming only when the situation demands superior measurement precision, thereby reducing average computational load while maintaining high precision when needed.
4Length of stationary object
If the radar uses analog beamforming mode, then the detection range is extended, but the angular resolution and detection precision are reduced
Solution Approach 1:
The system dynamically switches to analog beamforming mode when extended detection range is the primary requirement, and transitions to digital or hybrid modes when angular resolution becomes critical. This dynamic adaptation allows the radar to optimize for range when targets are distant and switch to high-resolution mode when targets require precise angular measurement, resolving the contradiction through context-dependent mode selection.
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
The adaptive radar control method improves target detection by optimizing radiation patterns and beamforming techniques, effectively detecting objects in diverse environments that would otherwise be missed with standard radar configurations.
Implementation Method 1
changing one or more of an elevation and an azimuth of a radiation pattern emitted by the transmitting antenna array
Implementation Method 2
optimizing radiation patterns and beamforming techniques
Data Source
AI summary
A method and apparatus with vehicle radar control is disclosed. An apparatus with vehicle radar control includes a radio frequency (RF) transceiver including a transmitting antenna array and a receiving antenna array, and at least one processor configured to collect environmental information of the vehicle, determine a radar mode of the vehicle based on the collected environmental information, generate one or more control signal configured to control one or more of the transmitting antenna array and the receiving antenna array based on the determined radar mode, and provide the generated one or more control signals to the RF transceiver, wherein one or more of the transmitting antenna array and the receiving antenna array operate according to the one or more generated control signals.