Sensor System Signal Processing for Interference Suppression
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Solution Overview
Problem
Existing methods for measuring transmission properties are susceptible to interference, particularly with monofrequency compensation signals, and struggle with complex detection tasks and multiple system triangulation, leading to inaccuracies and delays in spatial observation.
Innovation Solution
A method using a band-limited, multi-frequency feed signal and Hilbert space projections to superimpose and process signals, allowing for interference suppression and accurate measurement of transmission properties through feedback compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a monofrequency compensation signal is used, then the system is simple to implement, but it becomes highly susceptible to interference from light sources such as fluorescent tubes and their transients
Solution Approach 1:
The patent changes the frequency parameter of the transmission signal from a single frequency to multiple frequencies. The feed signal contains several different frequency components, and the evaluation identifies signals based on their specific frequency characteristics. This allows differentiation between the measurement signal and interference signals, resolving the contradiction between implementation simplicity and interference susceptibility.
2Adaptability or versatility
If time division multiplex method is used to differentiate individual signals, then multiple systems can operate, but it introduces delays in processing and creates time gaps in spatial observation
Solution Approach 1:
The patent transitions from time-based signal differentiation (time division multiplex) to frequency-based signal differentiation. By assigning different frequency components to different transmission links, multiple systems can operate simultaneously without temporal sequencing, eliminating processing delays and continuous time gaps while maintaining multi-system capability.
3Object-affected harmful factors
If a band-limited multi-frequency feed signal is used with Hilbert space projections, then interference sensitivity is significantly reduced, but the device complexity increases
Solution Approach 1:
The patent replaces complex physical interference filtering mechanisms with mathematical signal processing in Hilbert space. Instead of using physical filters or complex hardware to eliminate interference, the system uses frequency-based identification and mathematical projection methods to separate measurement signals from interference, reducing hardware complexity while maintaining interference rejection capability.
Data Source
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AI summary
Method and sensor system for measuring the transmission characteristics of a first transmission path (T1) of a measurement system based on feedback compensation between a first transmitter (H1) and a receiver (D1), wherein the receiver (D1) receives a compensation signal (I2) from a compensation transmitter (K) superimposed on the transmitted signal (I2) of the first transmitter (H1). A feed signal (S5) for the first transmitter (H1) and a receiver output signal (S1) of the receiver (D) each form a vector in a pre-Hilbert space. Using the method according to the invention, a Hilbert projection is performed between the receiver output signal (S1) of the receiver (D) and the feed signal (S5), so that a projection image signal (S10) is generated. An output signal (S4) is generated from the projection image signal (S10). A pre-signal (S6) is generated by means of at least a partial inverse transformation of the output signal (S4) with the feed signal (S5).The inverse transformation is preferably carried out by means of multiplication. A compensation signal (S3) for feeding the compensation transmitter (K) is generated from the formed pre-signal (S6) in order to achieve feedback control of the receiver output signal (S1).