Fading Doppler Frequency Estimation with Noise Power Correction
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Solution Overview
Problem
The estimation accuracy of fading Doppler frequency is compromised when the signal level is low due to a high noise component ratio, leading to inaccuracies in communication control in mobile communications.
Innovation Solution
A device and method that corrects the time domain channel correlation value using noise power calculations to improve the estimation of fading Doppler frequency, involving a channel estimator, noise power calculator, and corrector to refine the channel power and correlation values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the time domain channel correlation value is estimated based on the received signal using conventional methods, then the fading Doppler frequency can be estimated, but when the signal level is low, the noise component ratio increases causing the time domain channel correlation value to be underestimated and reducing estimation accuracy
Solution Approach 1:
The patent converts the harmful noise component into a useful element by explicitly estimating the noise power and using it to correct the time domain channel correlation value. Instead of treating noise as merely a detrimental factor to be ignored, the invention quantifies its impact and compensates for it mathematically, thereby transforming the noise problem into a solution that improves estimation accuracy under low signal conditions
Solution Approach 2:
The patent changes the parameter being estimated from the raw time domain channel correlation value to a corrected version that accounts for noise power. By introducing the noise power parameter and modifying the correlation value calculation to include noise compensation, the system adapts its measurement approach based on the actual signal conditions, thereby maintaining accuracy across varying signal-to-noise ratios
2Ease of operation
If the channel power is used as the power of the true signal component for SNR measurement, then the measurement can be performed based on available data, but the channel power includes noise component causing deviation from actual SNR and reducing estimation accuracy
Solution Approach 1:
The patent extracts the noise power component from the total channel power by separately estimating the noise power and subtracting it from the channel power to obtain an estimate of the true signal power. This separation allows the system to use the extracted signal power component for accurate SNR calculation, eliminating the contamination that would otherwise be present if the full channel power were used
Data Source
AI summary
Channel estimator 101, based on the received signal received through a radio channel, estimates an estimated value of a channel showing channel characteristics of the radio channel. Correlation value calculator 103 calculates a time domain channel correlation value showing the time correlation of the radio channel, based on the estimated value of the channel. Channel power calculator 102 calculates channel power as the power of the received signal, based on the estimated value of the channel. Noise power calculator 104 calculates noise power as the power of the noise component contained in the received signal. Corrector 105 corrects the channel power based on the noise power and corrects the time domain channel correlation value based on the corrected channel power and the noise power. Fading Doppler frequency estimator 200 estimates the fading Doppler frequency based on the corrected time domain channel correlation value.