DME Receiver Signal Quality Measurement Using Error Filtering
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Solution Overview
Problem
Existing communication systems face challenges in accurately measuring the reception quality of signals modulated using Differential Manchester Encoding (DME) due to signal degradation from imperfect channels and interference, which can lead to communication errors, especially in applications like automotive networks that require high reliability and speed.
Innovation Solution
A receiver system comprising an interface and a processor that converts DME signals into digital samples, filters them using matching filters, and calculates an error signal to produce a quality measure, such as a Signal Quality Index (SQI), by calculating differences between absolute-value filtered signals and using smoothing or low-pass filters to assess the signal quality relative to optimal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If DME signals are transmitted over imperfect channels, then communication speed is maintained, but signal degradation and interference occur leading to reception quality issues
Solution Approach 1:
The patent applies preliminary action by deriving an error signal from digital samples before final signal quality assessment. The system pre-processes the received DME signal through matching filters and calculates error signals that predict potential reception issues, enabling proactive quality monitoring and correction before communication errors occur.
Solution Approach 2:
The patent implements feedback by continuously monitoring the error signal derived from received DME signals and using this information to assess signal quality. The system feeds back quality metrics to enable adaptive adjustment of communication parameters, ensuring reliable reception while maintaining high communication speed over imperfect channels.
2Reliability
If signal quality monitoring is implemented for DME signals, then communication reliability is improved, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the receiver to autonomously derive error signals and assess signal quality without requiring external monitoring equipment. The system uses its own received digital samples to generate quality metrics, eliminating the need for separate test equipment or additional hardware complexity while improving communication reliability.
3Measurement precision
If matching filters are used to derive error signals, then measurement precision of signal quality is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing matching filter operations on received digital samples to pre-calculate error signals before final quality assessment. This pre-processing enables precise signal quality measurement while optimizing processing time by preparing error signals in advance for subsequent quality determination.
Data Source
AI summary
A receiver includes an interface and a processor. The interface is configured to receive a signal including symbols carrying bit values in respective symbol intervals, and to convert the received signal into a serial sequence of digital samples, the received signal being modulated using a Differential Manchester Encoding (DME) scheme that (i) represents a first bit value by a first symbol type having a level transition in the corresponding symbol interval and (ii) represents a second bit value by a second symbol type having a constant level in the corresponding symbol interval. The processor is configured to derive an error signal from the digital samples, and to produce a quality measure of the received signal based on the derived error signal.