Hybrid Navigation Position Calculation Using Reliability-Based Sensor Selection

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Solution Overview

Problem

Existing navigation systems face challenges in accurately calculating the movement angle and position of a moving body due to errors in GPS orientation data, especially in poor reception environments or when using self-contained navigation, which leads to accumulated errors over time.

Innovation Solution

A position calculating apparatus that receives GPS and self-contained sensor data, determines the reliability of each orientation data set based on various conditions, and selects the more reliable data to calculate the movement angle, thereby reducing errors in the velocity vector and improving positional accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If GPS positioning is used to calculate position, then absolute position can be detected, but detection accuracy decreases in poor reception environments

Engineering Contradiction:
Improveposition detection accuracyVSAvoidreception environment dependency
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent combines GPS positioning data with self-contained navigation data (from gyro sensors and vehicle-speed sensors) into a hybrid navigation system. This merging allows the system to leverage the absolute position capability of GPS while compensating for its poor performance in reception-challenged environments using the self-contained sensor data, thereby resolving the contradiction between measurement precision and reliability.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent dynamically changes the weighting parameters assigned to GPS data versus self-contained navigation data based on reception environment quality. When GPS reception is poor, the system increases the weight of self-contained navigation data and decreases the weight of GPS data, and vice versa. This parameter adjustment resolves the contradiction by adapting the system's reliance on each data source to current environmental conditions.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If self-contained navigation is used to calculate position, then independence from reception environment is achieved, but accumulated error increases over time

Engineering Contradiction:
Improvereception environment independenceVSAvoidposition accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent merges self-contained navigation data with GPS positioning data in a hybrid system. The self-contained navigation provides reliable operation independent of reception environment, while GPS data periodically corrects accumulated errors. This combination resolves the contradiction by maintaining reliability through self-contained navigation while restoring measurement precision through GPS corrections.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent implements a feedback mechanism where GPS positioning results are used to correct and reset the accumulated error in self-contained navigation. When GPS data becomes available, the system compares it with self-contained navigation results and uses the GPS data to recalibrate the self-contained sensors, thereby eliminating accumulated error while preserving the reception-independent operation.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If GPS orientation data is used to calculate movement angle, then absolute orientation can be obtained, but errors occur in poor reception environments

Engineering Contradiction:
Improveorientation detection accuracyVSAvoidorientation data reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent dynamically changes the reliability parameters of GPS orientation data based on reception environment assessment. When GPS reception is poor, the system reduces the weight or reliability parameter assigned to GPS orientation data and increases reliance on self-contained gyro sensor data. This parameter adjustment resolves the contradiction between measurement precision and reliability by adapting to current reception conditions.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces self-contained gyro sensor data as an intermediary to bridge the gap when GPS orientation data becomes unreliable. The gyro sensors provide continuous orientation information that serves as a reliable backup and supplement to GPS orientation data, ensuring continuous accurate orientation calculation even when GPS reception deteriorates.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Reliability

If hybrid navigation using both GPS and self-contained sensors is used, then complementary advantages are achieved, but time difference between data sets must be handled

Engineering Contradiction:
Improvenavigation system robustnessVSAvoiddata synchronization complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies preliminary time correction to GPS data before processing, using the known time difference between GPS sampling and self-contained sensor sampling. By pre-adjusting the GPS data timestamps or interpolating values to match the self-contained navigation time base, the system eliminates synchronization complexity while maintaining the complementary advantages of hybrid navigation.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS7414575B2Position calculating apparatus, position calculating method, and program
Publication Date: 2008.08.19 ALPINE ELECTRONICS INC
  • US7414575B2 patent drawing
  • US7414575B2 patent drawing
  • US7414575B2 patent drawing

AI summary

A position calculating apparatus that calculates a position of a moving body by using results of positioning by a GPS satellite and a self-contained sensor includes receiving means for receiving GPS orientation data measured by the GPS satellite and navigation orientation data measured by the self-contained sensor; first determining means for determining a reliability of the GPS orientation data; second determining means for determining a reliability of the navigation orientation data; and movement angle calculating means for calculating a movement angle of the moving body from the GPS orientation data or the navigation orientation data in accordance with the determination results of the first and second determining means.