Noise Estimation Circuit for Real-Time Signal Analysis
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Solution Overview
Problem
Conventional methods for estimating noise components in received signal sets are resource-intensive and time-consuming, often requiring extensive data-averaging, offline operations, and large memory usage, which can be undesirable due to resource limitations and delays in data transmission and storage systems.
Innovation Solution
The implementation of noise estimation circuits and methods that include data detector circuits, noise predictive filter circuits, partial correlation determination circuits, prediction error power circuits, and noise power calculation circuits, which calculate electronics and media noise power based on detected data samples, enabling real-time noise estimation in data processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used for noise estimation, then measurement precision may be achieved, but loss of time and productivity deteriorate due to extensive data-averaging and offline operations
Solution Approach 1:
The patent segments the noise estimation process into distinct functional blocks: data detector circuit (310) that detects data from received signals, noise predictive filter circuit (240) that predicts noise components, and noise power calculation circuit (470) that calculates noise power. This segmentation allows parallel processing of different noise components, significantly reducing processing time while maintaining estimation accuracy through specialized processing in each segment.
Solution Approach 2:
The patent implements preliminary action by using the noise predictive filter circuit to predict noise components before final noise power calculation. The filter circuit pre-processes the received signals to estimate noise characteristics, allowing the subsequent calculation circuit to compute noise power more efficiently. This preliminary estimation step reduces the computational burden and processing time compared to conventional methods that perform all calculations simultaneously after data collection.
2Measurement precision
If conventional methods are used for noise estimation, then measurement precision may be achieved, but device complexity and resource requirements worsen due to extensive memory and computation needs
Solution Approach 1:
The patent divides the complex noise estimation system into three specialized circuits with distinct functions: data detector (310) for signal detection, noise predictive filter (240) for noise prediction, and noise power calculation (470) for power computation. Each circuit is optimized for its specific task, reducing overall system complexity compared to a monolithic conventional approach that requires all functionality in a single complex processing unit with large memory buffers.
Solution Approach 2:
The patent extracts the noise prediction function into a separate noise predictive filter circuit (240) that operates independently from the main data detection and power calculation processes. This extraction allows the filter to pre-process signals and provide noise estimates to subsequent circuits, reducing the computational burden on the main processing system and eliminating the need for extensive memory resources required by conventional integrated approaches.
3Measurement precision
If conventional offline methods are used, then noise power may be calculated, but productivity deteriorates due to delays in data transmission and storage operations
Solution Approach 1:
The patent implements continuous noise estimation by processing received signals in real-time as they are detected by the data detector circuit (310). The noise predictive filter circuit (240) continuously predicts noise components from the incoming signal stream, and the noise power calculation circuit (470) continuously computes noise power without requiring offline batch processing. This continuous operation eliminates delays associated with conventional methods that must complete entire data sets before analysis, enabling immediate noise assessment for data transmission and storage operations.
Solution Approach 2:
The patent performs preliminary noise prediction using the noise predictive filter circuit (240) before final noise power calculation is required. This allows the system to have noise estimates available earlier in the processing pipeline, enabling real-time decisions about data transmission and storage operations without waiting for complete offline analysis, thereby improving productivity while maintaining accurate noise power calculation.
Data Source
AI summary
Various embodiments of the present invention provide systems and methods for estimating noise components in a received signal set. For example, one embodiment of the present invention provides a noise estimation circuit that includes a data detector circuit and a noise component calculation circuit. The data detector circuit receives a series of data samples and provides a detected output, and the noise component calculation circuit provides an electronics noise power output and a media noise power output each calculated based at least in part on the detected output and the series of data samples.