Non-Contact Velocity Estimation with Adaptive Doppler Receiver Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing non-contact velocity estimation methods for moving targets using wireless radio frequency signals face challenges in accuracy due to the influence of position and moving direction, require complex algorithms that hinder real-time processing, and can only estimate partial velocity information such as speed or direction.
Innovation Solution
A method involving acquiring channel state information, eliminating random phase offsets, performing denoising and filtering, dynamically selecting optimal receiving devices, and calculating velocity using Doppler frequency shifts to estimate both speed and heading of a moving target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex optimization algorithms are used to improve velocity estimation accuracy, then measurement precision is improved, but device complexity increases and real-time processing capability deteriorates
Solution Approach 1:
The patent segments the velocity estimation process into distinct stages: signal acquisition, phase offset elimination, signal construction, and velocity calculation. By dividing the complex optimization problem into modular segments, each handling a specific aspect of the estimation process, the system achieves high accuracy without requiring monolithic complex algorithms that would hinder real-time processing.
Solution Approach 2:
The patent performs preliminary actions by pre-eliminating random phase offsets and pre-constructing signals before the actual velocity estimation. This preliminary processing prepares the data in advance, allowing the main velocity calculation to use simpler, more efficient algorithms that can operate in real-time while maintaining high precision.
2Ease of operation
If non-contact velocity estimation is implemented using common wireless devices, then ease of operation and accessibility are improved, but measurement precision deteriorates due to uncontrolled target position and direction
Solution Approach 1:
The patent applies dynamics by making the signal construction process adaptive to the moving target's changing position and direction. The system dynamically adjusts the phase offset elimination and signal construction parameters based on real-time target characteristics, enabling accurate velocity estimation despite the target's motion and the simplicity of using common wireless devices.
Solution Approach 2:
The patent changes key parameters such as phase offsets and signal construction methods based on the target's position and motion state. By adjusting these parameters dynamically, the system maintains high measurement precision even when using simple, deployable wireless devices without requiring precise control of target position or orientation.
3Device complexity
If partial velocity information (speed or direction only) is estimated, then device complexity is reduced, but loss of information increases
Solution Approach 1:
The patent transitions from one-dimensional velocity estimation (speed only or direction only) to two-dimensional velocity estimation by simultaneously calculating both speed and heading. This is achieved by constructing signals that preserve directional information and using processing methods that extract both magnitude and angular components, thereby recovering complete velocity information without proportionally increasing device complexity.
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
Ensures high-accuracy, real-time velocity estimation with ease of deployment and low cost, suitable for common wireless devices without hardware modifications, and non-intrusive to the target.
Implementation Method 1
respectively extracting a Doppler frequency shift caused by the motion of the target from the two selected optimal receiving devices, and calculating a velocity of the moving target according to the Doppler frequency shifts
Data Source
AI summary
The present disclosure relates to a method, a system, a device and a storage medium for non-contact velocity estimation of a moving target. The method comprises the following steps: acquiring channel state information or other information that includes motion information of a moving target through at least two receiving devices, eliminating a random phase offset of the channel state information or other information to acquire newly constructed signals, and performing a denoising and filtering process on the newly constructed signals; identifying a motion state of the target according to the newly constructed signals, and dynamically selecting two optimal receiving devices if the target is moving; respectively extracting a Doppler frequency shift caused by the motion of the target from the two selected optimal receiving devices, and calculating a velocity of the moving target according to the Doppler frequency shifts.