Signal Filtering System for Composite Signal Interference Cancellation
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Solution Overview
Problem
Conventional telecommunication systems face challenges in efficiently separating signals of interest from composite signals that include interfering signals, particularly in satellite systems where bandwidth differences between the composite and interfering signals complicate signal retrieval.
Innovation Solution
Implementing a signal filtering system with downlink and uplink bandwidth filters, along with a baseband processing module, to cancel interfering signals by using replicas of these signals, while reducing the composite bandwidth and interference bandwidth to match the signal of interest, utilizing the same impulse response for both filters and potentially incorporating a complex rotator for frequency translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional telecommunication systems transmit signals across wired and wireless communication channels without advanced filtering, then the system structure remains simple, but the ability to separate signals of interest from interfering signals deteriorates
Solution Approach 1:
The patent divides the filtering system into separate downlink and uplink bandwidth filters, each processing specific frequency ranges. This segmentation allows independent optimization of each filter's parameters and simplifies the overall signal separation process by handling different signal types through dedicated filtering paths.
Solution Approach 2:
The patent introduces an intermediary signal path that captures interfering signals separately before they mix with signals of interest. This intermediary approach allows the system to process and cancel interfering signals through a dedicated channel, improving separation accuracy without requiring complex all-in-one filtering.
2Productivity
If the system processes the full composite bandwidth of received signals, then all potential signals are captured, but processing resources and time are wasted on interfering signals
Solution Approach 1:
The patent applies preliminary bandwidth filtering to the received composite signal before further processing. By pre-filtering to remove known interfering signal bands, the system reduces the bandwidth that requires intensive processing while preserving all signals of interest within the remaining bandwidth, thus improving efficiency without losing relevant information.
Solution Approach 2:
The system extracts and removes interfering signal components from the composite received signal through dedicated bandwidth filters. This extraction process isolates the interfering signals from signals of interest, allowing the system to process only the necessary bandwidth containing useful information, thereby improving productivity while maintaining signal completeness.
3Loss of energy
If bandwidth filters reduce the composite bandwidth to match only the signal of interest, then processing resources are saved, but the filters become more complex to design and implement
Solution Approach 1:
The patent designs the bandwidth filters to serve multiple functions: frequency selection, interference rejection, and signal preservation. By making the filters multi-functional, the system achieves effective bandwidth reduction without requiring additional separate components, thus saving processing resources while managing filter complexity through versatile design.
4Reliability
If the system uses different impulse responses for downlink and uplink filters, then each filter can be optimized for its specific signal type, but the system complexity and calibration requirements increase
Solution Approach 1:
The patent employs parameter changes by allowing the impulse responses of downlink and uplink filters to differ based on their specific signal processing requirements. Each filter's parameters are adjusted to match the characteristics of its respective signal type, achieving optimal performance while managing complexity through parameter optimization rather than structural complexity.
Data Source
AI summary
A burst demodulator and method of obtaining a signal of interest from many signals of interest within a composite signal. Implementations may include receiving a composite signal, centering a replica of the interfering signal relative to the composite signal, reducing the composite signal to the bandwidth of a desired signal of interest, and canceling the remaining portion of the interfering signal.