Integrated Navigation with Dynamic Wireless Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation systems face challenges in providing accurate and uninterrupted positioning, especially in GNSS-degraded or GNSS-denied environments, due to errors in inertial navigation systems and the limitations of low-cost MEMS-based sensors, as well as the need for pre-existing information in wireless positioning techniques.
Innovation Solution
An integrated navigation system that combines online, dynamic wireless system modeling with various navigation solutions, such as inertial navigation and GNSS, using loosely, tightly, or deeply coupled integration methods to enhance positioning accuracy and reliability without requiring pre-existing information, and utilizes state estimation techniques like Kalman filters for error reduction and multipath assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inertial navigation system is used for positioning, then positioning information can be obtained without external signals, but positioning accuracy degrades over time due to error accumulation
Solution Approach 1:
The patent combines inertial navigation system (INS) with wireless positioning system (WPS) to create an integrated navigation system. The INS provides continuous positioning with high availability while the WPS provides periodic corrections to bound error accumulation, achieving both high reliability and maintained accuracy through sensor fusion.
Solution Approach 2:
The wireless positioning system provides feedback corrections to the inertial navigation system. By periodically updating the INS with WPS position fixes, the system creates a feedback loop that corrects drift and bounds error accumulation, maintaining long-term positioning accuracy.
2Measurement precision
If GNSS is used for positioning, then high positioning accuracy can be achieved, but positioning is disrupted in urban settings, tunnels and other GNSS-degraded environments
Solution Approach 1:
The inertial navigation system acts as an intermediary between GNSS and the user. During GNSS outages in urban canyons or tunnels, the INS maintains positioning continuity by propagating the last known position forward, bridging the gap until GNSS signals become available again.
Solution Approach 2:
The system prepares for GNSS outages by maintaining an active inertial navigation system that can immediately take over positioning functions. This beforehand cushioning ensures that positioning availability is maintained without interruption when transitioning from GNSS to INS operation.
3Ease of manufacture
If low-cost MEMS-based inertial sensors are used, then device cost is reduced, but positioning errors increase rapidly over time
Solution Approach 1:
The wireless positioning system serves to self-correct the errors introduced by low-cost MEMS sensors. By periodically obtaining position fixes from the WPS and using them to recalibrate and correct the INS, the system enables the low-cost sensors to maintain acceptable accuracy without requiring expensive high-precision inertial sensors.
Data Source
AI summary
The present disclosure relates to a system and method for integrating online, dynamic wireless system modeling with a navigation solution. The building of wireless dynamic online models for wireless positioning does not require pre-existing information such as pre-surveys and is capable of providing relatively better accuracy. Integration of the wireless positioning using dynamic online models with other navigation systems/solutions is proposed whereby the other navigation system/solution can benefit and enhance the building of wireless dynamic online models. In addition, the wireless dynamic online models can be optimally integrated with the other navigation system/solution for enhanced positioning performance.