Wireless Channel Estimation History for Object Detection

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Solution Overview

Problem

Current wireless communication systems face challenges in efficiently adjusting transmission parameters and sensing object presence or location using channel estimations, particularly in dynamic environments where channel conditions change rapidly due to device movement or new objects entering the area.

Innovation Solution

The system employs past channel estimates and electromagnetic patterns to adjust transmission parameters, sense the presence of objects, and allow association by analyzing correlations between channel feedback frames and EM patterns, enabling improved communication performance and location determination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the system uses only current channel estimates for adjusting transmission parameters and sensing object presence, then the response time is fast, but the accuracy and reliability of detection and parameter adjustment are insufficient in dynamic environments

Engineering Contradiction:

Improveaccuracy of object presence detectionVSAvoidresponse time for parameter adjustment

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by maintaining a history of past channel estimates and pre-processing them to identify patterns and characteristics. This allows the system to make more accurate predictions about current channel conditions and object presence without waiting for new data to accumulate, thus improving detection accuracy while maintaining fast response time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously comparing current channel estimates with past channel estimates from the history. This feedback mechanism allows the system to detect changes in channel conditions and object presence more accurately by analyzing the evolution of channel characteristics over time, while the feedback loop operates efficiently to maintain fast response.

Inventive Principle:

Principle #23Feedback

2Reliability

If the system analyzes multiple past channel estimates to improve detection accuracy, then the reliability of transmission parameter adjustment is improved, but the processing complexity and time delay increase

Engineering Contradiction:

Improvereliability of transmission parameter adjustmentVSAvoidcomplexity of channel estimation processing

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the channel estimation processing by organizing past channel estimates into a structured history data structure with specific characteristics and properties. This segmentation allows the system to process and analyze channel estimates in manageable units, improving reliability through comprehensive analysis while controlling processing complexity through systematic organization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies partial action by selectively analyzing only the most relevant and recent past channel estimates rather than processing the entire history uniformly. This approach maintains high reliability by considering sufficient historical data while reducing processing complexity and time delay by focusing on the most informative portions of the channel estimation history.

Inventive Principle:

Principle #16Partial or excessive action

3Measurement precision

If the system continuously monitors channel changes to detect object presence, then the detection accuracy is improved, but the energy consumption increases

Engineering Contradiction:

Improveprecision of location determinationVSAvoidenergy consumption for channel monitoring

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system maintains continuity of useful action by continuously updating and refining the channel estimation history while filtering out redundant information. This continuous process enables the system to detect object presence and determine location with high precision through ongoing monitoring, while the efficient processing approach minimizes energy consumption by avoiding unnecessary computations.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS9351179B2Using one or more past channel estimates for adjusting parameters, sensing object presence, or allowing association

Publication Date: 2016.05.24 AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE LTD

AI summary

Systems and methods can analyze a present channel estimation and a previous channel estimation and/or two or more prior channel estimations to improve communication performance, sense environmental conditions, and make location and velocity determinations. The methods can include: (a) sending, by a transmitter, a first sounding frame and a second sounding frame to a receiver; (b) receiving, by the transmitter, a first channel estimation response from a receiver responsive to the first sounding frame, and a second channel estimation response from the receiver responsive to the second sounding frame; and (c) detecting, by the transmitter, based at least on the first channel estimation response and the second channel estimation response, if a change in characteristics of a channel between the transmitter and the receiver occurred between the first sounding frame and the second sounding frame.