Balanced Wireless Sensing with Delay-Angle Partitioning
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Solution Overview
Problem
Ubiquitous sensing in complex environments, such as indoor multipath environments and crowded shopping malls, faces challenges with unbalanced sensing opportunities and increased sensing errors due to multipath propagation and signal interference from the environment and moving objects.
Innovation Solution
A balanced wireless sensing method that involves determining a delay-Doppler spectrum, jointly partitioning the delay and angle ranges, and setting angle traversal step sizes to sense a preset number of objects, allowing for precise trajectory determination of moving objects by filtering and curve fitting across multiple sensing periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless sensing is used in complex environments, then sensing coverage is achieved, but sensing balance and precision deteriorate due to multipath propagation and signal interference
Solution Approach 1:
The patent applies segmentation by dividing the delay range into multiple delay partitions and the angle range into multiple angle partitions, creating a joint partition structure. This segmentation allows the system to process different spatial and temporal regions separately, reducing the impact of multipath propagation and interference by isolating them into specific partitions rather than affecting the entire sensing space uniformly.
Solution Approach 2:
The patent implements local quality by assigning different angle traversal step sizes to different delay partitions. Specifically, closer delay partitions use smaller angle step sizes for higher precision, while farther partitions use larger step sizes. This localized adaptation of sensing parameters optimizes precision where needed while maintaining overall system performance despite environmental interference.
2Reliability
If uniform angle traversal is used across all delay partitions, then implementation simplicity is maintained, but sensing balance deteriorates due to varying object densities at different distances
Solution Approach 1:
The patent applies dynamics by making the angle traversal step size variable rather than uniform. The step size dynamically adapts based on the delay partition, with closer partitions using smaller steps and farther partitions using larger steps. This dynamic parameter adjustment achieves balanced sensing across different distances while the systematic partitioning approach keeps the complexity manageable.
Solution Approach 2:
The patent implements parameter changes by modifying the angle traversal step size parameter according to the delay partition. This parameter adaptation allows the system to adjust its sensing granularity based on distance, improving sensing balance without requiring complete redesign of the sensing architecture.
3Measurement precision
If fine angle traversal step size is used for all partitions, then sensing precision is improved, but processing complexity and time increase significantly
Solution Approach 1:
The patent applies partial action by using fine angle traversal step sizes only for closer delay partitions where objects are more densely distributed and precision is more critical. For farther partitions, larger step sizes are used, reducing processing time while maintaining adequate precision for distant objects. This selective application of fine granularity optimizes the trade-off between precision and time.
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
Achieves balanced sensing opportunities and reduced errors in complex environments by ensuring consistent object detection and accurate trajectory drawing, even in high-precision multi-object scenarios.
Implementation Method 1
determining a delay-Doppler spectrum of a received signal
Data Source
AI summary
Provided are a balanced wireless sensing method, a communication node, and a storage medium. The balanced wireless sensing method includes determining a delay-Doppler spectrum of a received signal in the current sensing period; jointly partitioning the delay range and the angle range of the sensed received signal, where a joint partition includes a delay partition and an angle partition; and determining an angle traversal step size corresponding to each delay partition and a preset number of sensed objects in each joint partition; for each joint partition, sensing information about at most the preset number of sensed objects in the joint partition according to the delay-Doppler spectrum and the angle traversal step size of the joint partition; determining a trajectory within a sensing range according to information sensed in multiple sensing periods; and determining a moving object according to the trajectory.