Delay-Angle Spectrum Classification for Multipath Wireless Position Sensing

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Solution Overview

Problem

Existing wireless communication networks face challenges in accurately determining Time Of Arrival (TOA) and Angle Of Arrival (AOA) in complex multipath environments due to deployment of mobile base stations.

Innovation Solution

A multi-target position classification wireless sensing method that calculates a delay-angle of arrival spectrum, classifies path distribution areas, and estimates angles and times of arrival using spatial-domain and time-domain orthogonality, converting these calculations into graphic processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional TOA and AOA measurement methods are used in complex multipath environments, then the measurement process is simple, but the measurement accuracy deteriorates

Engineering Contradiction:

ImproveTOA and AOA measurement accuracyVSAvoidsignal processing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the multipath signal processing into distinct categories: separable paths (where traditional methods work) and inseparable paths (requiring new graphic processing methods). By dividing the complex problem into manageable segments based on path characteristics, the system can apply appropriate processing methods to each segment, improving overall accuracy without overwhelming complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a delay-angle of arrival spectrum as an intermediary representation that bridges traditional TOA/AOA extraction and modern graphic processing. This intermediary spectrum allows the system to visualize and process multipath components in a unified framework, enabling accurate parameter extraction from complex signals through graphical analysis rather than direct complex calculations.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If mobile base stations are deployed in complex environments, then network coverage is improved, but measurement accuracy deteriorates due to multipath effects

Engineering Contradiction:

Improvenetwork deployment flexibilityVSAvoidsensing signal parameter accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent changes the parameter space from traditional time-domain and angle-domain separate analysis to a unified delay-angle spectrum domain. By transforming the signal representation into this new parameter space, the system can accurately characterize multipath components and extract correct TOA and AOA parameters even in complex environments where traditional methods fail.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If traditional signal processing methods are used, then computation is straightforward, but accuracy in complex multipath environments deteriorates

Engineering Contradiction:

Improvearrival parameter determination accuracyVSAvoidsignal processing difficulty

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces traditional mechanical signal processing operations with graphic processing techniques. Instead of performing complex mathematical calculations directly on the signal, the system transforms the problem into a graphical domain where paths are visualized and analyzed as geometric objects. This substitution simplifies the detection and measurement process while improving accuracy through intuitive graphical analysis of signal characteristics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260029522A1Multi-target position classification wireless sensing method, device, and medium

Publication Date: 2026.01.29 ZTE CORP

AI summary

The disclosure provides a multi-target position classification wireless sensing method, including: determining channel impulse response of each antenna oscillator in multi-antenna array in receiving sensing signal; calculating delay-angle of arrival spectrum according to the channel impulse response of each antenna oscillator in receiving sensing signal; dividing and classifying path distribution area according to delay-angle of arrival spectrum; for separable path, taking angle corresponding to a maximum amplitude point in ambiguity range of separable path as angle of arrival of separable path, and taking time corresponding to maximum amplitude point in ambiguity range as time of arrival of separable path; and for inseparable path, according to angle ambiguity range and delay ambiguity range of graph including inseparable paths, estimating angle of arrival and time of arrival of each inseparable path in graph of inseparable paths. The disclosure further provides an electronic device and a computer readable medium.