Carrier Signal Detection Using Correlation Depth Analysis
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently detecting the presence of a carrier signal, which is crucial for efficient and interference-free operation, especially in multiple radio environments.
Innovation Solution
A method and apparatus that determine the presence of a carrier in a received signal by analyzing the correlation depth of the signal using autocorrelation values and prediction coefficients, generating a decision statistic, and comparing it to a detection threshold, allowing for accurate carrier detection before demodulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional carrier detection methods are used, then the device can scan channels to detect carrier presence, but the detection process is time-consuming and causes audio holes during channel scans
Solution Approach 1:
The patent applies preliminary action by performing carrier detection before the actual demodulation process. The system determines carrier presence using autocorrelation values and prediction coefficients prior to attempting to demodulate the signal, thereby avoiding time-consuming demodulation attempts when no carrier is present and reducing channel scan time while maintaining detection accuracy
Solution Approach 2:
The patent replaces conventional mechanical scanning and demodulation approaches with a mathematical correlation-based detection system. By using autocorrelation functions and prediction coefficients to analyze signal characteristics, the system achieves faster carrier detection without the time-consuming iterative demodulation processes of traditional methods
2Reliability
If the device continuously scans channels to detect carrier presence, then carrier detection is performed, but battery life is consumed
Solution Approach 1:
The patent applies self-service by enabling the device to autonomously determine carrier presence using the received signal's own autocorrelation properties. The system uses prediction coefficients derived from the signal itself to make detection decisions, eliminating the need for continuous external scanning and reducing energy consumption while maintaining reliable carrier detection
Solution Approach 2:
The patent implements periodic action by performing carrier detection at specific intervals rather than continuously. The system determines carrier presence based on autocorrelation values calculated at discrete time points, allowing the device to scan channels periodically and maintain carrier detection reliability while conserving battery life through intermittent rather than continuous operation
3Productivity
If the device attempts demodulation before carrier detection, then signal processing is performed, but processing time and energy are wasted when no carrier is present
Solution Approach 1:
The patent applies preliminary action by performing carrier detection before demodulation. The system first determines whether a carrier is present using autocorrelation values and prediction coefficients, and only initiates demodulation processing if the carrier is detected, thereby avoiding wasted processing time and energy on signals without carriers
Solution Approach 2:
The patent extracts the carrier detection function from the demodulation process and performs it as a preliminary step. By separating carrier presence determination from signal demodulation, the system can quickly assess whether demodulation is necessary, extracting the essential carrier detection task before investing resources in the more complex demodulation operation
Data Source
AI summary
A device receives a signal and, prior to demodulating the signal determines whether carrier is present in the received signal based on the correlation depth of the received signal. The device determines a plurality of values for the received signal that indicate the amount of correlation in the received signal and detects the presence of the carrier in the received signal as a function of the plurality of values. The plurality of values can include autocorrelation values and prediction coefficients, wherein the autocorrelation values are estimated based on an autocorrelation function derived for the received signal, and the prediction coefficients are generated using a prediction model that is derived as a function of the autocorrelation values. The prediction coefficients can be summed to generate a decision statistic that is compared to a detection threshold to detect the presence of the carrier.