Authentication Server Signal Processing for Satellite Location
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Solution Overview
Problem
Satellite signal authentication systems face challenges in low signal-to-noise-ratio (SNR) environments, such as indoors and downtown areas, due to power loss and squaring loss when signals pass through band-pass filters, which degrade performance and hinder the validation of genuine global position computations.
Innovation Solution
The system estimates server signals based on client received satellite signals, compares unknown low-rate codes, and compensates for narrow bandwidths by moving code-wipeoff and bandwidth compensation algorithms to the authentication server, reducing noise and increasing signal integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If band-pass filters are used to process satellite signals in client devices, then signal components can be separated and processed, but significant power loss and squaring loss occur that degrade performance in low SNR environments
Solution Approach 1:
An authentication server acts as an intermediary to receive satellite signals directly and perform code-wipeoff operations, then transmit processed signals to client devices. This eliminates the need for clients to perform power-intensive filtering and code removal operations locally, thereby reducing power loss while maintaining signal processing capability.
Solution Approach 2:
The authentication server creates a copy of the satellite signal and performs code-wipeoff operations on the copy, then transmits the processed copy to the client. This allows the client to work with a pre-processed signal that requires less local processing power, reducing energy loss in the client device.
2Ease of operation
If band-pass filters are used to process satellite signals, then signal components can be separated, but squaring loss occurs that significantly degrades performance in low SNR environments
Solution Approach 1:
The authentication server performs code-wipeoff operations on satellite signals before transmitting them to client devices. By removing known codes in advance, the server reduces noise and interference that would otherwise require aggressive filtering at the client, thereby maintaining signal integrity and authentication reliability in low SNR environments.
Solution Approach 2:
The patent replaces mechanical signal filtering operations at the client device with digital signal processing operations performed at the authentication server. This substitution allows for more precise and less destructive signal processing, reducing squaring loss and improving authentication performance.
3Measurement precision
If code-wipeoff operations are performed at the client device, then unknown codes can be extracted, but the narrow bandwidth of client receivers degrades signal quality
Solution Approach 1:
Instead of having the client extract unknown codes from the satellite signal, the authentication server performs the code-wipeoff operation and extracts the unknown code components. The server then transmits the processed signal to the client, inverting the traditional processing flow to preserve signal bandwidth and quality.
Solution Approach 2:
The authentication server acts as an intermediary that receives satellite signals, performs code-wipeoff operations, and transmits processed signals to clients. This intermediary processing allows for optimal code extraction without the bandwidth limitations of client receivers, maintaining signal quality while achieving accurate code extraction.
Data Source
AI summary
A system and methods for location authentication are presented. An estimated server signal is estimated based on a generated known code signal, and a client received satellite signal is received from a client device. The client received satellite signal is compared to the estimated server signal to provide a comparison result.