CDR Signal Mode Detection Using Filtered Correlation Circuits
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Solution Overview
Problem
Existing digital radio technologies face challenges in efficiently determining the spectrum mode and transmission mode of Convergent Digital Radio (CDR) signals, particularly in urban environments with multiple broadcasting stations and varying transmitter configurations, leading to complexity and inefficiency in signal reception.
Innovation Solution
A radio system and method utilizing digital signal processing circuitry with filters and correlators to generate correlation coefficients for each possible spectrum and transmission mode combination, employing a matrix-based decision algorithm to determine the most probable configuration, enabling robust and agile detection of the desired transmitter configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple filters and correlators are used to determine spectrum mode and transmission mode, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The signal processing is divided into distinct stages: filtering stage with multiple bandpass filters, correlation stage with multiple correlators, and decision stage with maximum selection. Each stage handles a specific aspect of mode determination, improving measurement precision while making the overall complex process manageable through structured segmentation
Solution Approach 2:
The same filter and correlator structures are reused for determining both spectrum mode and transmission mode. The filters process signals across different frequency bands, and correlators compare against multiple mode templates, enabling a single processing framework to handle multiple determination tasks simultaneously
2Measurement precision
If multiple correlation coefficients are calculated for each filter output, then measurement precision is improved, but loss of time increases
Solution Approach 1:
Multiple correlation coefficients are pre-calculated for each filter output corresponding to different spectrum modes and transmission modes. By preparing these correlation values in advance and storing them, the system avoids repeated calculations during actual signal processing, reducing processing time while maintaining high detection accuracy through comprehensive coefficient comparison
Solution Approach 2:
The system creates multiple copies of correlation coefficients for different mode combinations rather than calculating them on-demand. These pre-computed coefficient sets are stored and quickly referenced during mode determination, eliminating redundant calculations and significantly reducing processing time while preserving measurement precision
3Adaptability or versatility
If the radio system continuously monitors multiple spectrum modes and transmission modes, then adaptability is improved, but use of energy increases
Solution Approach 1:
The system performs partial monitoring by focusing correlation operations only on the most probable spectrum modes and transmission modes identified by preliminary filter outputs. Rather than exhaustively processing all possible mode combinations continuously, the system selectively applies correlation analysis where needed, reducing energy consumption while maintaining high adaptability through targeted mode detection
Data Source
AI summary
Aspects of this disclosure relate to determining a transmission mode and a spectrum mode of a Convergent Digital Radio signal. The Convergent Digital Radio signal can be filtered by a plurality of filters. Correlation coefficients can be generated from the filtered signals, in which each correlation coefficient corresponds to a particular transmission mode and at least one particular spectrum mode. The transmission mode and the spectrum mode can be selected based on the correlation coefficients.