Superimposed Signal Peak Detection for Small Power Differences
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Solution Overview
Problem
Existing methods for separating superimposed signals suffer from reduced separation accuracy when power differences between signals are small, and estimating signal parameters is difficult for signals with small power differences.
Innovation Solution
A signal processing apparatus that detects a first peak with the highest intensity and a second peak with lower intensity in a superimposed signal, and estimates signal parameters such as amplitude and symbol timing using information from these peaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power difference-based signal separation method is used, then separation process is simple, but separation accuracy deteriorates when power difference between signals is small
Solution Approach 1:
The patent changes the parameter used for signal separation from power difference to frequency component intensity. By detecting peaks in the frequency spectrum and using the intensity of these peaks to identify and separate signals, the method achieves accurate separation even when power differences between signals are small, while maintaining operational simplicity through automated peak detection and intensity-based processing.
2Measurement precision
If signal parameter estimation is performed for all signals, then separation accuracy improves, but estimation difficulty increases for signals with small power difference
Solution Approach 1:
The patent introduces frequency component intensity as an intermediary parameter to facilitate signal parameter estimation. By detecting peaks in the frequency spectrum and measuring their intensities, the system creates a reliable basis for estimating signal parameters even for weak signals with small power differences, thereby reducing estimation difficulty while improving separation accuracy.
3Measurement precision
If frequency component intensity-based peak detection is used, then signal parameter estimation becomes reliable for small power difference signals, but processing complexity increases
Solution Approach 1:
The patent segments the frequency spectrum into distinct peaks corresponding to individual signals. By detecting and isolating these peaks based on intensity thresholds, the system simplifies the complex task of parameter estimation for multiple signals with small power differences. This segmentation approach makes the processing more manageable while maintaining high estimation reliability.
Data Source
AI summary
A signal processing apparatus of the present disclosure includes: a detecting unit configured to detect, based on intensity of a frequency component in a superimposed signal containing a plurality of signals, a first peak with highest intensity and a second peak with lower intensity than the first peak in at least one signal to be separated contained by the superimposed signal; and an estimating unit configured to estimate a preset type of signal parameter of the signal to be separated by using information based on the first peak and the second peak.