Broadband Millimeter-Wave Beam Tracking with Vehicle Motion Prediction
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Solution Overview
Problem
Existing millimeter wave beam tracking technologies struggle to handle high-dynamic vehicle scenarios where both transmitting and receiving ends have mobility, failing to accurately track beam angles during vehicle turning and lane changing, and do not effectively utilize vehicle movement trajectory recognition for reliable broadband communication.
Innovation Solution
A broadband millimeter wave beam tracking method using an improved particle filter algorithm with cognitive assistance from vehicle movement characteristics, incorporating vehicle position-attitude information to predict sudden beam angle changes and adjust beam forming vectors, ensuring accurate and reliable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If millimeter wave broadband transmission method is used to increase communication link capacity, then transmission speed increases to tens of gigabits, but signal quality deteriorates due to weak penetrability and multipath effects
Solution Approach 1:
The patent implements dynamic beam tracking that adapts to high-dynamic vehicle scenarios by continuously adjusting beam directions based on real-time vehicle motion trajectories. The system transitions from static beamforming to dynamic beam tracking, enabling the communication link to maintain signal quality despite vehicle movements, turning, and lane changes in millimeter wave frequency band
Solution Approach 2:
The patent employs feedback mechanisms through vehicle motion trajectory recognition and beam tracking algorithms that continuously monitor and adjust beam directions. The system uses feedback from vehicle position, velocity, and acceleration data to predict and compensate for beam angle changes, ensuring reliable signal transmission in high-dynamic environments
2Reliability
If antenna array and beam forming technology are used to generate directional narrow beam signal, then signal quality and reliability improve, but beam alignment and tracking become difficult in highly dynamic scenarios
Solution Approach 1:
The patent applies preliminary action by predicting vehicle motion trajectories and pre-calculating beam direction adjustments before actual beam tracking is needed. The system uses vehicle kinematic models to forecast future positions and orientations, allowing the beam forming system to proactively align with anticipated target positions, thereby simplifying real-time beam tracking in high-dynamic scenarios
Solution Approach 2:
The patent introduces vehicle motion trajectory recognition as an intermediary layer between the antenna array and beam forming technology. This intermediary system processes vehicle motion data and generates trajectory predictions that guide beam direction adjustments, making the complex task of beam alignment and tracking in highly dynamic scenarios more manageable and accurate
3Ease of manufacture
If existing beam tracking solutions are used that consider only fixed roadside base station scenarios, then implementation is simple, but they fail to solve reliable millimeter wave communication when both transmitting and receiving ends have high mobility
Solution Approach 1:
The patent develops a universal beam tracking system that functions across multiple scenarios including fixed base station, moving vehicle, and high-dynamic vehicle-to-vehicle communication. The system integrates vehicle motion trajectory recognition with beam tracking algorithms, creating a multi-functional solution that adapts to various mobility conditions while maintaining implementation feasibility through modular architecture
4Device complexity
If vehicle turning and lane changing scenarios are not considered, then beam tracking algorithm is simpler, but sudden beam angle changes during turning cannot be tracked accurately
Solution Approach 1:
The patent implements dynamic beam tracking that specifically addresses vehicle turning and lane changing by continuously adapting beam directions based on real-time vehicle motion trajectories. The system models vehicle kinematics including turning radius and lane change dynamics, enabling accurate tracking of sudden beam angle changes while maintaining manageable algorithm complexity through efficient computational approaches
Data Source
AI summary
A broadband millimeter wave beam tracking method based on vehicle movement trajectory recognition, which relates to the field of wireless communication. First, a rough estimate of the beam angle is obtained according to the position and attitude of two vehicles in a communication scenario at an initial moment, and a state of the vehicle is judged according to the sudden change rate of the transmitting beam angle starting from a next moment: if it is in the sudden change mode, the observation value ŷk of the received signal is calculated; if it is in the smooth change mode, the observation value I is calculated; the observation values in different modes are input into an improved particle filter algorithm for fine beam estimation, to obtain optimal values xk and uk; and the beam optimal values at the current moment are used to re-estimate a pair of the forming vector of the transmitting beam and the forming vector of the receiving beam to adjust the vehicle and the pilot signal at the next moment is transmitted; by continuously adjusting the beam forming vector at each moment, a beam tracking within an error range is obtained. The present application improves the accuracy and reliability of beam tracking in case of sudden angle change.