Signal Specification Identification via Adaptive Sampling Conversion
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Solution Overview
Problem
Existing signal specification identification techniques face accuracy degradation due to unknown band-limiting filters, leading to improper threshold setting and errors in transmission rate estimation.
Innovation Solution
A signal specification identification apparatus that performs sampling frequency conversion, calculates probabilities for signal specifications, and iteratively updates parameters to improve reliability, allowing for accurate identification of signal specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the threshold value is determined based on the maximum power of the power spectrum, then the transmission rate estimation can be performed, but the accuracy of signal specification identification degrades when the band-limiting filter is unknown
Solution Approach 1:
The patent implements an iterative feedback mechanism where the signal specification identification apparatus performs initial identification, evaluates the reliability of the result, and if the reliability is insufficient, returns to adjust the threshold value and re-performs the identification. This closed-loop feedback process continues until satisfactory reliability is achieved, thereby resolving the contradiction between initial estimation capability and final identification accuracy.
Solution Approach 2:
The threshold value, which is initially set based on maximum power, is dynamically adjusted during the iterative process based on reliability evaluation. The system transitions from a static threshold setting to a dynamic adaptation process where the threshold is refined in subsequent iterations to improve identification accuracy while maintaining the ability to estimate transmission rate.
2Measurement precision
If iterative parameter adjustment is performed to improve identification accuracy, then the accuracy of signal specification identification is enhanced, but the processing time and complexity increase
Solution Approach 1:
The iterative process with feedback control allows the system to balance accuracy and time by evaluating reliability at each step and stopping when a satisfactory threshold is reached, avoiding unnecessary iterations while ensuring sufficient accuracy.
Solution Approach 2:
The system changes key parameters (threshold value, sampling frequency conversion ratios) during iteration to improve accuracy. By strategically adjusting these parameters based on reliability feedback, the system achieves high identification accuracy without requiring excessive iterations, thus managing processing time effectively.
Data Source
AI summary
A signal specification identification apparatus includes processing circuitry that estimates the transmission rate of a received signal, performs sampling frequency conversion on the received signal, calculates a probability corresponding to each of a plurality of candidates for a specification of the received signal, selects a candidate using the respective probabilities, and calculates reliability corresponding to a selected candidate, determines whether to output the selected candidate as an identification result or perform the sampling frequency conversion again, based on the reliability, and changes a parameter indicating the ratio of the sampling frequency conversion when it is determined that the sampling frequency conversion is to be performed again. Processing is repeated until the processing circuitry determines that the selected candidate as the identification result is to be output.