SNR Estimation via Synchronization Symbol Difference
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Solution Overview
Problem
Existing methods for estimating signal-to-noise ratio (SNR) of radio signals are complex, limited by cyclic prefix length, and susceptible to environmental and frequency-related parameters, necessitating a simpler, more efficient, and robust estimation method.
Innovation Solution
A method that recovers synchronization symbols from received digital radio signals, calculating SNR based on the difference between identical synchronization signals and their noise components, independent of cyclic prefix length and environmental factors, using a correlation coefficient for analog SNR estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (EMV, frequency domain, time domain) are used to estimate SNR, then SNR estimation can be performed, but the computation becomes difficult and complicated
Solution Approach 1:
The patent extracts the synchronization symbol from the received signal and uses only this extracted component for SNR estimation. By focusing on the synchronization symbol which contains known training sequences, the method simplifies the estimation process while maintaining accuracy, avoiding the complex computations of conventional methods
Solution Approach 2:
The patent uses the known transmitted synchronization symbol as a reference copy to compare against the received synchronization symbol. This copying approach enables direct comparison and simplifies the estimation process by using the known original signal to derive SNR from the difference between transmitted and received versions
2Measurement precision
If methods relying on cyclic prefix are used, then SNR estimation can be performed, but the cyclic prefix length is limited which limits estimation accuracy
Solution Approach 1:
The patent extracts SNR estimation capability directly from the synchronization symbol without relying on the cyclic prefix structure. This extraction approach eliminates the limitation of cyclic prefix length by using a different part of the signal (the synchronization symbol with known training sequences) for estimation purposes
3Measurement precision
If conventional SNR estimation methods are used, then estimation can be performed, but the estimation is easily affected by external environment parameters and frequency-related parameters
Solution Approach 1:
The patent uses the synchronization symbol which contains known training sequences that are inherently robust to environmental and frequency variations. The method leverages the self-contained nature of the synchronization symbol with its known structure to perform estimation that is less susceptible to external harmful factors
Solution Approach 2:
By using the known transmitted synchronization symbol as a reference copy and comparing it with the received version, the method creates a controlled comparison that minimizes the impact of environmental and frequency-related disturbances on the estimation accuracy
Data Source
AI summary
A method for estimating a signal-to-noise ratio of a received digital radio signal. The estimating method includes a detecting step consisting in recovering a received synchronization symbol contained in the received digital radio signal, and an estimating step configured to determine the signal-to-noise ratio of the received digital radio signal, depending on the difference between a first received synchronization signal and a second received synchronization signal. The first and second received synchronization signals are comprised in the received synchronization symbol.