Angle Estimation Error Detection via Mode Vector Comparison
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Solution Overview
Problem
Conventional angle estimating apparatuses face challenges in detecting calibration errors, which lead to deviations in estimated angles from actual incident angles, requiring recalibration and affecting estimation accuracy.
Innovation Solution
An angle estimating apparatus with a receiving circuit, estimating circuit, storing circuit, and detecting circuit that uses a weight set by calibration to weight signals, stores error-free mode vectors and evaluation values, and calculates an evaluation value based on an evaluation function to detect calibration errors by comparing calculated and stored values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration operation is performed to obtain correct weight for each signal, then angle estimation accuracy is improved, but the ability to detect weight errors is lost
Solution Approach 1:
The system pre-stores reference mode vectors that represent the receiving circuit characteristics in an error-free calibration state. These reference vectors are saved before any calibration errors can occur, providing a baseline for future error detection without interfering with the calibration process itself.
Solution Approach 2:
The system continuously compares currently measured mode vectors against the pre-stored reference mode vectors. This feedback mechanism enables real-time detection of calibration errors by identifying deviations from the known error-free state, while maintaining the calibrated weight values for accurate angle estimation.
2Measurement precision
If recalibration is performed to correct angle deviation, then estimation accuracy is restored, but system operation time is increased
Solution Approach 1:
The system performs self-diagnosis by automatically detecting calibration errors through comparison of measured mode vectors with reference vectors. This self-service capability allows the system to identify errors without external intervention or manual recalibration triggers, enabling timely correction before significant angle deviations occur.
Solution Approach 2:
By pre-storing reference mode vectors during manufacturing or initial calibration, the system establishes a baseline that enables continuous error detection during operation. This preliminary action eliminates the need for frequent manual recalibration cycles, reducing operational time loss while maintaining accuracy.
3Reliability
If mode vectors are measured and stored for error detection, then error detection capability is improved, but device complexity is increased
Solution Approach 1:
The system extracts and stores only the essential mode vectors that represent receiving circuit characteristics in the error-free state. By focusing on storing only these critical reference vectors rather than complete signal data, the system achieves error detection capability with minimal additional data storage requirements.
Solution Approach 2:
The system creates simplified copies of the receiving circuit characteristics in the form of mode vectors during calibration. These vector representations serve as lightweight reference models that enable error detection without requiring storage or processing of the full complex signal data, reducing overall system complexity.
Data Source
AI summary
A receiving circuit uses a weight set by calibration to weight signals incident to receiving elements. A storing unit stores a measured value of a mode vector reflecting characteristics of the receiving circuit in an error-free state of the weight for the receiving circuit characteristics and further correlates and stores an incident signal angle estimated by an estimating unit, and for the error-free state, a calculation result of an evaluation value by an evaluation function capable of calculating the evaluation value, which varies according to the incident signal angle and error. A detecting unit calculates the evaluation value based on the stored measured value of the mode vector and the evaluation function and detects an occurrence of the error based on comparison of the calculated evaluation value and the stored evaluation value, when the estimated incident signal angle corresponds to a value close to the stored incident signal angle.