Real-Time State Machine Modeling for Multipath Wireless Sensing

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Traditional sensing technologies struggle to accurately sense in complex environments with limited antennas and narrow bandwidth, such as indoor urban areas, due to multipath interference.

Innovation Solution

A wireless sensing method utilizing a real-time state machine model to build and determine the environmental state of a sensing object, enhancing accuracy by modeling the state machine based on sensing signals and channel impulse responses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional sensing technologies are used in complex environments, then the sensing capability is limited, but the accuracy of wireless sensing deteriorates due to multipath interference

Engineering Contradiction:

Improvesensing accuracyVSAvoidmultipath interference

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent converts the harmful multipath interference into a beneficial resource by using the reflected signals from multiple paths to identify and characterize sensing objects. The system processes these multipath signals to extract useful information about the objects, transforming the interference from an obstacle into a means for enhanced detection capability in complex environments

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

2Device complexity

If the number of receiver antennas is limited or bandwidth is narrow, then the device complexity is reduced, but the wireless sensing capability deteriorates

Engineering Contradiction:

Improvenumber of antennasVSAvoidwireless sensing capability

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent changes the processing parameters and algorithms rather than increasing hardware parameters. By implementing sophisticated signal processing techniques and state machine models, the system achieves accurate wireless sensing with limited antennas and narrow bandwidth, transforming the problem from a hardware limitation to a software processing solution

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If traditional radar equipment is used for simple scenarios, then the device complexity is low, but the adaptability to complex environments deteriorates

Engineering Contradiction:

Improveenvironmental adaptabilityVSAvoidsensing system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal sensing system that can handle multiple scenarios through software-based state machine models and adaptive signal processing. The system can detect various objects (pedestrians, vehicles, cyclists) and adapt to different environments (urban, indoor, outdoor) using the same hardware platform, achieving multi-functionality without increasing physical device complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent implements dynamic adaptation through state machine models that can transition between different sensing states based on environmental conditions. The system dynamically adjusts its processing modes and parameters to match the current scenario, enabling high adaptability to complex and changing environments while maintaining reasonable system complexity

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250287186A1Wireless sensing method, communication device and storage medium

Publication Date: 2025.09.11 ZTE CORP

AI summary

The present application discloses a wireless sensing method, a communication device and a storage medium. The method includes: building a real-time state machine model for a sensing object; and determining an environmental state of the sensing object based on the real-time state machine model.