Broadband Data Conversion Using Segmented Receive Chains
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Solution Overview
Problem
Conventional methods and systems for data conversion are too large, power intensive, and inflexible, making them costly and inefficient for broadband applications.
Innovation Solution
The system employs a plurality of receive chains to segment the broadband spectrum into sub-bands, each optimized for a specific frequency range, using smaller and less expensive components such as variable gain amplifiers, anti-aliasing filters, and analog-to-digital converters, and a digital signal processor to manage and process the signals, enabling efficient data conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional data conversion systems are used to process broadband signals, then data conversion functionality is provided, but the system size becomes too large and power consumption becomes excessive
Solution Approach 1:
The broadband spectrum is divided into multiple sub-bands, with each receive chain processing a specific sub-band. This segmentation allows the system to handle broadband signals while using smaller, more efficient components for each sub-band, reducing overall system size and power consumption while maintaining data conversion capability.
2Productivity
If conventional data conversion systems are used to process broadband signals, then data conversion functionality is provided, but power consumption becomes excessive
Solution Approach 1:
By segmenting the broadband processing into multiple specialized receive chains, each handling a specific sub-band, the system reduces power consumption. Each receive chain uses optimized components (variable gain amplifiers, anti-aliasing filters, ADCs) sized appropriately for its sub-band, avoiding the excessive power consumption of a single large-scale system processing the entire broadband spectrum.
3Productivity
If conventional data conversion systems are used, then data conversion is achieved, but the systems are too inflexible
Solution Approach 1:
The system employs multiple receive chains that can be dynamically configured and enabled/disabled based on the specific broadband signal requirements. This dynamic configuration allows the system to adapt to different frequency ranges and signal conditions, providing flexibility while maintaining data conversion capability across varying operational requirements.
4Productivity
If conventional data conversion systems are used, then data conversion functionality is provided, but component costs become excessive
Solution Approach 1:
Segmenting the broadband processing into multiple receive chains allows the use of smaller, less expensive components for each sub-band. Each receive chain uses optimized components (variable gain amplifiers, anti-aliasing filters, ADCs) that are sized and specified for its specific sub-band requirements, reducing component costs while maintaining overall data conversion capability.
Data Source
AI summary
A receiver may receive a signal and process each of a plurality of sub-bands of the received signal via a respective one of a plurality of first-type receive chains. The receiver may utilize a signal output by a first one of the plurality of the first-type receive chains to remove undesired signals from a signal output by a second one of the plurality of the first-type receive chains. The undesired signals may comprise aliases and/or harmonics of one or more signals that fall within a sub-band of the first one of the plurality of the first-type receive chains. The receiver may downconvert, filter, and digitize each of the plurality of sub-bands via a corresponding one of the plurality of the first type receive chains. The received signal may encompass the cable television band, and each of the plurality of sub-bands may comprise a plurality of cable television channels.