Digital Sinusoidal Signal Simulation With Harmonic Cancellation
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Solution Overview
Problem
Existing methods for generating sinusoidal waveform signals for imaging applications often introduce errors due to higher order harmonic components present in square waves, which can be costly and impractical to mitigate with multiple square wave generators, and result in analogue signals that negate digital transducer modulation advantages.
Innovation Solution
A method and apparatus that simulate a sinusoidal signal using a single source signal with harmonic components, where the signal is phase-shifted and integrated over time to minimize harmonic components, allowing for digital signal processing and reduced error, employing digital components like FPGAs to generate and phase-lock square waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple square wave generators are used to simulate sinusoidal signals, then measurement precision is improved by reducing harmonic components, but device complexity increases
Solution Approach 1:
The patent segments the sinusoidal signal generation into multiple discrete square wave components with different phases and amplitudes. By dividing the complex sinusoidal waveform into simpler square wave segments that can be summed, the system achieves high measurement precision without requiring multiple physical square wave generators. Each square wave component represents a segment of the overall sinusoidal reconstruction.
Solution Approach 2:
The patent uses digital copying and processing of square wave signals to simulate sinusoidal waveforms. Instead of using multiple physical square wave generators, the system digitally copies and processes square wave components, applying phase shifts and amplitude adjustments through digital signal processing. This approach maintains measurement precision while significantly reducing device complexity.
2Ease of manufacture
If square waves are used to generate sinusoidal signals, then ease of manufacture is improved, but measurement precision deteriorates due to harmonic components
Solution Approach 1:
The patent extracts the fundamental frequency component from square wave signals while removing or minimizing harmful harmonic components. By selectively extracting the desired sinusoidal fundamental frequency and eliminating higher-order harmonics through digital filtering and processing, the system maintains the ease of square wave generation while achieving the measurement precision required for accurate phase detection.
Solution Approach 2:
The patent converts the harmful harmonic components inherent in square waves into beneficial elements for signal processing. Rather than simply filtering out harmonics, the system uses digital signal processing techniques to leverage the known harmonic structure of square waves, transforming the previously harmful harmonic content into useful information that can be processed to achieve precise sinusoidal signal reconstruction with accurate phase measurement.
3Measurement precision
If analogue waveforms are used for signal summation, then sinusoidal signal quality is improved, but loss of substance increases due to conversion from digital
Solution Approach 1:
The patent replaces the mechanical or analogue summation process with digital signal processing operations. Instead of using analogue circuitry to sum square wave components and generate sinusoidal signals, the system performs all summation, phase shifting, and filtering operations in the digital domain. This substitution maintains digital signal integrity throughout the process while still achieving high-quality sinusoidal signal output, eliminating the need for analogue-to-digital conversions that would cause loss of digital signal information.
Data Source
AI summary
The present invention relates to a method of simulating an initial component of a signal to approximate a component of a reference signal, the method characterized by the steps of:i. generating a source signal which includes at least one harmonic component, andii. determining the average amplitude and duration of the source signal, andiii. referencing the amplitude of the reference signal component to be simulated, andiv. integrating the source signal over a period of time sufficient to produce a value for the signal component amplitude approximate to the reference signal component amplitude.