Vector Signal Analysis Reference Extraction in Low-SNR Measurements
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Solution Overview
Problem
Existing vector signal analysis (VSA) methods face challenges in providing accurate reference signals when the signal-to-noise ratio (SNR) is low, leading to incorrect measurements due to undetected detection errors, especially when the actual bit sequence of the measurement signal is unknown or insufficiently known.
Innovation Solution
A measurement device and method that iteratively adapts a reference signal based on repetitive measurements, using deterministic and statistical corrections, noise cancellation, and channel filtering to ensure an accurate reference signal, even in low SNR environments, without requiring external knowledge of the bit sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the reference signal is extracted from the measurement signal using conventional VSA methods, then the measurement process is simplified, but detection errors occur when the SNR is low
Solution Approach 1:
The patent applies preliminary action by performing multiple iterations of reference signal determination before final measurement. The processor determines an initial reference signal from the measurement signal, then iteratively adapts it by comparing with subsequent repetitions and correcting errors. This preliminary iterative refinement ensures the reference signal is accurate before used in final VSA measurements, resolving the contradiction between simple extraction and accurate measurement.
2Measurement precision
If detection error correction is implemented, then reference signal accuracy is improved, but knowledge of the actual bit sequence is required which is sometimes unknown
Solution Approach 1:
The patent implements self-service by enabling the measurement device to automatically correct its own reference signal without external intervention. The processor uses the repetitive structure of the measurement signal itself to identify and correct detection errors through iterative comparison and adaptation. This self-correcting mechanism achieves accurate reference signals without requiring external bit sequence knowledge or complex manual correction processes.
3Measurement precision
If multiple repetitions of the measurement signal are used for iterative adaptation, then the reference signal accuracy is improved, but the measurement time is increased
Solution Approach 1:
The patent applies continuity of useful action by processing multiple repetitions of the measurement signal in continuous sequence. The processor determines an initial reference signal from the first repetition, then continuously adapts it using subsequent repetitions without interruption. This continuous processing approach efficiently utilizes the repetitive signal structure to improve reference signal accuracy while minimizing idle time, resolving the contradiction between precision and measurement time.
Data Source
AI summary
The present disclosure relates to a measurement device for performing a vector signal analysis. The measurement device includes an input port which is arranged for being connected to a device under test (DUT). The input port is configured to receive a repetitive measurement signal from the DUT and a processor is configured to determine a reference signal based on at least one repetition of the received measurement signal. The processor is configured to iteratively adapt the determined reference signal over at least one further repetition of the measurement signal.