Wifi Frequency Subset Scanning for Location Estimation

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Solution Overview

Problem

Existing location estimation methods for wireless devices, such as cell phones and laptops, face challenges in indoor settings where GPS signals are weak, and the process of discovering nearby Wifi access points is power-intensive, leading to battery drain.

Innovation Solution

A method where a wireless computing device scans a subset of frequencies associated with strong and fixed Wifi base stations, reducing power consumption while maintaining accurate location estimation by using a subset of base stations that are within a threshold distance of each other.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a device scans all Wifi frequencies to discover access points for location estimation, then location accuracy is improved, but power consumption increases

Engineering Contradiction:
Improvelocation accuracyVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent divides the frequency spectrum into multiple frequency sets and further segments them into frequency subsets. Instead of scanning all frequencies at once, the device scans only selected subsets, reducing power consumption while maintaining location estimation accuracy through incremental updates.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs partial frequency scanning by selecting only certain frequency subsets rather than scanning the entire frequency spectrum. This partial action is sufficient to discover enough access points for accurate location estimation without the excessive power consumption of a full scan.

Inventive Principle:
Principle #16Partial or excessive action

2Measurement precision

If a device performs frequent full frequency scans to maintain accurate location tracking, then location update accuracy is improved, but battery life deteriorates

Engineering Contradiction:
Improvelocation update accuracyVSAvoidbattery life
Core Design Contradiction:
Measurement precisionVSDuration of action of moving object

Solution Approach 1:

The patent implements periodic location estimation using incremental updates based on previously scanned frequency subsets. Instead of performing continuous full scans, the device periodically updates location using selected frequency subsets, maintaining accuracy while extending battery life through reduced scanning frequency and scope.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent performs preliminary frequency scans to discover access points and build a location database in advance. This preliminary action allows subsequent location updates to be performed more efficiently using stored information and selective re-scanning of only necessary frequency subsets.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If a device uses GPS for location estimation, then outdoor location accuracy is improved, but indoor location capability deteriorates

Engineering Contradiction:
Improveoutdoor location accuracyVSAvoidindoor location capability
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal location estimation system that works both outdoors and indoors by using Wifi access point discovery and frequency subset scanning. This multi-functional approach replaces GPS-dependent outdoor positioning with a hybrid system that maintains accuracy in both environments, particularly excelling indoors where GPS signals are unavailable.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10219103B2Power-efficient location estimation
Publication Date: 2019.02.26 GOOGLE LLC
  • US10219103B2 patent drawing
  • US10219103B2 patent drawing
  • US10219103B2 patent drawing

AI summary

A wireless computing device may scan a frequency set. A first group of base stations may use the frequencies in the frequency set. Based on information relating to one or more base stations in the first group of base stations, the wireless computing device may estimate its location. The wireless computing device may further select a frequency subset of the frequency set. A second group of base stations may use the frequencies of the frequency subset. Based on information relating to one or more base stations in the second group of base stations, the wireless computing device may again estimate its location. If the two estimated locations are within a threshold distance of one another, the wireless computing device may perform, during a subsequent location-estimating operation, an additional frequency scan using the frequency subset.