Hybrid Spectral Compression for GNSS Obstructed Positioning
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Solution Overview
Problem
Current satellite-based navigation systems, such as GPS, face challenges in providing accurate positioning in obstructed environments due to weak signal strength, and the integration of GPS with real-time locating systems (RTLS) is costly and complex, lacking compatibility and practicality for broad usage.
Innovation Solution
A system and method utilizing hybrid spectral compression and cross-correlation signal processing that combines local area beacons with global navigation satellites to provide accurate positioning, employing spectral compression to enhance signal processing and eliminate the need for time and frequency synchronization, allowing for cost-effective and flexible deployment in both obstructed and unobstructed environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS signals are used for positioning in obstructed environments, then wide area coverage is provided, but signal strength is too weak and positioning accuracy degrades
Solution Approach 1:
The patent combines GPS satellite signals with local area beacon signals into a unified positioning system. The hybrid architecture merges wide-area GNSS coverage with local obstructed-environment positioning capability, allowing the receiver to use whichever signal source is available and appropriate for the current environment.
Solution Approach 2:
The patent implements different signal processing characteristics for different signal sources. Local beacons use spectral compression with specific correlation properties optimized for obstructed environments, while GPS satellites use conventional signal processing. Each signal type is processed with the appropriate method for its characteristics and propagation conditions.
2Measurement precision
If RTLS is deployed for positioning in obstructed environments, then positioning accuracy is improved, but system cost and complexity increase
Solution Approach 1:
The patent designs the positioning receiver to perform multiple functions using a unified signal processing architecture. The same hardware and processing framework handles both GPS satellite signals and local beacon signals, eliminating the need for separate RTLS infrastructure and reducing overall system complexity.
Solution Approach 2:
The patent uses spectral compression to create a simplified representation of the beacon signals that captures the essential positioning information. This compressed spectral representation enables accurate positioning without requiring complex signal processing infrastructure, effectively creating a lightweight positioning solution.
3Productivity
If spectral compression is used for signal processing, then signal processing efficiency is improved, but time and frequency synchronization requirements increase
Solution Approach 1:
The patent implements self-synchronization mechanisms where the spectral compression process itself provides timing and frequency reference information. The signal processing extracts synchronization data from the received signals rather than requiring external synchronization infrastructure, allowing the system to self-calibrate and maintain accurate timing.
Data Source
AI summary
The present invention relates to a system and method using hybrid spectral compression and cross correlation signal processing of signals of opportunity, which may include Global Navigation Satellite System (GNSS) as well as other wideband energy emissions in GNSS obstructed environments. Combining spectral compression with spread spectrum cross correlation provides unique advantages for positioning and navigation applications including carrier phase observable ambiguity resolution and direct, long-code spread spectrum signal acquisition. Alternatively, the present invention also provides unique advantages for establishing the validity of navigation signals in order to counter the possibilities of electronic attack using spoofing and/or denial methods.