Signal Quality Indicator Estimation for ATSC 3.0 Receivers
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Solution Overview
Problem
The ATSC 3.0 standard lacks a defined method for representing signal quality, making it difficult to quantify signal quality effectively.
Innovation Solution
An estimation method for a signal quality indicator is provided, which calculates a relative signal-to-noise ratio and uses threshold ranges to determine signal quality, with preset values for high and low SNR conditions, and functions based on bit error rates for SNR within thresholds, allowing for precise estimation of signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a method for representing signal quality is not defined in ATSC 3.0, then the standard maintains simplicity and ease of implementation, but the signal quality cannot be quantized or measured
Solution Approach 1:
The patent applies parameter changes by transforming the signal quality assessment from qualitative to quantitative through introducing specific parameters: relative SNR calculation, threshold ranges, and a mapping function that converts BER to SQI values. This enables precise measurement of signal quality while maintaining computational efficiency through standardized mathematical operations.
Solution Approach 2:
The patent replaces the absence of a signal quality representation mechanism with a computational mathematical model. Instead of relying on undefined qualitative assessment, the invention substitutes a structured calculation system involving relative SNR, threshold comparisons, and function-based SQI determination, thereby enabling automated quantization without mechanical complexity.
2Measurement precision
If signal quality is difficult to be quantized in ATSC 3.0, then implementation remains simple, but transmission quality identification becomes inaccurate
Solution Approach 1:
The patent introduces relative SNR as an intermediary parameter that bridges the gap between raw signal measurements and final SQI quantification. The relative SNR serves as a mediator that simplifies the detection process by providing a normalized metric that can be directly compared against threshold ranges, thereby reducing measurement difficulty while improving precision.
Solution Approach 2:
The patent segments the signal quality measurement process into distinct stages: relative SNR calculation, threshold range determination, and SQI estimation through function output. This segmentation breaks down the complex measurement task into manageable steps, reducing detection difficulty while maintaining high measurement precision through systematic progression.
Data Source
AI summary
An estimation method suitable for a receiver and includes the following steps: calculating a relative signal-to-noise ratio, and determining whether the relative signal-to-noise ratio is higher than, lower than or within a threshold range; in response to determining that the relative signal-to-noise ratio is higher than the threshold range, estimating the signal quality indicator as a first preset value, wherein the first preset value represents a best signal quality; in response to determining that the relative signal-to-noise ratio is higher than the threshold range, estimating the signal quality indicator as a first preset value, wherein the first preset value represents a best signal quality; in response to determining that the relative signal-to-noise ratio is within the threshold range, estimating the signal quality indicator as an output value of a function according to a bit error rate, wherein an input value of the function is the relative signal-to-noise ratio.