Sinusoidal Signal Decoder Using Analog Transfer Function
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Solution Overview
Problem
Conventional decoders that decode sinusoidal signals for sensors like angular position sensors often rely on digital look-up tables, which can be inefficient and sensitive to errors in half-phase signals, limiting their accuracy and robustness.
Innovation Solution
Analog techniques using arithmetic operations to generate linearly varying signals from sinusoidal inputs, with transfer function circuits and offset values, allowing for accurate decoding without sequential circuit elements or look-up tables, and being insensitive to variances in half-phase signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital look-up tables are used for decoding sinusoidal signals, then the decoding function can be implemented, but the system becomes sensitive to errors in half-phase signals and loses accuracy
Solution Approach 1:
The patent replaces digital look-up table methods with an analog circuit-based transfer function approach. The analog circuit continuously computes the arctangent relationship between sinusoidal signals through physical electrical relationships, eliminating the discrete digital approximation and its associated sensitivity to half-phase signal errors. This substitution of digital computation with analog physical computation resolves the contradiction by providing both accuracy and robustness simultaneously.
Solution Approach 2:
The patent transforms the decoding problem from a digital discrete parameter approach (look-up tables) to a continuous analog parameter approach. By using analog circuits to maintain continuous relationships between signals through transfer functions, the system achieves immunity to quantization errors and half-phase signal variations that plague digital methods. The continuous nature of analog parameters provides inherent error tolerance while maintaining precision.
2Ease of manufacture
If digital look-up tables are used for decoding, then the implementation is straightforward, but the system efficiency is limited and requires sequential circuit elements
Solution Approach 1:
The patent replaces sequential digital circuit elements with parallel analog circuit operations. The analog transfer function circuit performs decoding through simultaneous electrical operations rather than sequential digital steps, eliminating the need for clocked sequential elements and enabling true parallel processing. This increases productivity while the circuit can be manufactured using standard analog IC fabrication processes, maintaining ease of manufacture.
Solution Approach 2:
The patent leverages the periodic nature of sinusoidal signals to enable continuous decoding operation. The analog circuit processes the periodic input signals continuously through its transfer function, producing continuous output without the need for sampling and sequential processing. This continuous periodic operation dramatically improves decoding efficiency compared to discrete digital methods while maintaining implementation simplicity through standard analog circuit design.
3Reliability
If analog techniques with arithmetic operations are used, then robustness against half-phase signal variances is improved, but the circuit complexity increases
Solution Approach 1:
The patent employs a universal analog transfer function circuit that handles multiple decoding requirements through a single unified mathematical relationship. The same circuit topology and transfer function process all sinusoidal signal pairs regardless of frequency or amplitude variations, providing robustness without requiring multiple specialized circuits. This multi-functionality reduces overall circuit complexity compared to implementing separate error correction mechanisms for each signal condition.
Solution Approach 2:
The patent uses parameter changes in the transfer function to adapt to different input conditions while maintaining the same basic circuit structure. By adjusting transfer function parameters rather than reconfiguring circuit topology, the system achieves robustness against signal variances without increasing structural complexity. The analog parameters can be tuned to optimize performance for different applications using the same fundamental circuit design.
Data Source
AI summary
This disclosure is directed to techniques for decoding two or more signals that vary sinusoidally with respect to a parameter value to produce a decoded signal that varies linearly with respect to the parameter value. The techniques may include receiving a first signal and a second signal, the first signal varying with respect to a parameter value according to a first sinusoidal function having a period and a first phase, the second signal varying with respect to the parameter value according to a second sinusoidal function having the period and a second phase different from the first phase. The techniques may further include performing one or more arithmetic operations using the first signal, the second signal, and an offset value to generate a third signal that varies linearly with respect to the parameter value for at least one-half of the period of the first signal and the second signal.