Quantum-Inspired Sensor Fusion With Virtual Anchors for GPS-Denied Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing navigation and positioning systems struggle to maintain accurate location tracking in GPS-denied environments due to signal interference, inconsistent sensor transitions, and inefficient power management, leading to positional drift and ambiguity.
Innovation Solution
A quantum-inspired sensor fusion framework that integrates environmental and inertial sensors using wavefunction-like expansions and amplitude-based filtering, with virtual anchor points and predictive modeling to adapt to environmental conditions, ensuring resilient positioning and secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensor modalities are used for positioning in GPS-denied environments, then positioning capability is improved, but system complexity increases
Solution Approach 1:
The system segments the sensor fusion process into distinct modules: environmental sensor processing, inertial sensor processing, virtual anchor point management, and fusion coordination. Each module handles specific sensor types and processing tasks independently, reducing overall system complexity while maintaining comprehensive positioning capability through modular integration.
Solution Approach 2:
The system introduces virtual anchor points as intermediary references that mediate between environmental sensors and inertial sensors. These virtual anchor points serve as a common reference frame that reconciles discrepancies between different sensor modalities, enabling coherent fusion without requiring direct complex interactions between all sensors.
2Measurement precision
If sensor fusion is performed continuously to maintain positioning accuracy, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system implements periodic sensor fusion operations rather than continuous processing. Fusion computations are executed at optimized intervals based on motion detection and environmental conditions, maintaining positioning accuracy during critical moments while reducing power consumption during stable periods when updates are less frequent.
Solution Approach 2:
The system dynamically adjusts fusion intensity and update frequency based on real-time conditions such as motion detection, environmental stability, and positioning uncertainty. During high-precision requirements, fusion operates more intensively; during stable conditions, it reduces computational load while maintaining sufficient accuracy through adaptive parameter adjustment.
3Adaptability or versatility
If virtual anchor points are dynamically updated to adapt to environmental changes, then adaptability is improved, but computational load increases
Solution Approach 1:
The system employs feedback mechanisms where environmental sensor data continuously informs virtual anchor point updates. Observations from environmental sensors feed back into the virtual anchor point management system, enabling adaptive repositioning and recalculation based on actual environmental conditions while maintaining computational efficiency through targeted updates rather than exhaustive recomputation.
Solution Approach 2:
The system changes key parameters of virtual anchor points (such as position, orientation, and weight) based on environmental conditions rather than performing complete system recomputation. This selective parameter adjustment maintains adaptability to environmental changes while minimizing computational overhead by updating only essential parameters rather than entire fusion models.
Data Source
AI summary
A navigation system and method are disclosed for operation in GPS-denied environments using quantum-inspired sensor fusion, dynamic virtual anchor points (VAPs), and predictive environmental modeling. The system represents multiple position hypothesis using wavefunction-like expansions and integrates VAP-based triangulation for drift correction. A predictive modeling module ingests solar, geomagnetic, and environmental data to proactively adjust sensor weighting. A cybersecurity module employs quantum-algebraic key generation and location-derived ephemeral keys to secure inter-device communication. The system includes an augmented reality (AR) interface to visualize and edit anchor references, and a neurofeedback module that adapts the AR interface based on real-time physiological signals from the user. The method further enables anchor optimization via AI-driven repositioning and supports low-power edge execution using approximate amplitude filtering. Additional modules may include fractal antennas, neuromorphic processors, and adaptive forecasting layers to maintain positional accuracy and user experience in subterranean, multi-floor, or magnetically complex environments.