Radar Angle Estimation Using Range-Rate Ambiguity Resolution
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Solution Overview
Problem
Existing methods for determining the angle of detection using range rate in radars often result in ambiguities, failing to provide a unique angle estimation.
Innovation Solution
A computer-implemented method that processes radar signals from multiple antennas by calculating the angle of detection from the range rate, utilizing a correlation coefficient based on a calibration matrix and reference vectors to disambiguate potential angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If commonly used methods are used to determine angle from range rate, then angle estimation can be obtained, but the determination is ambiguous and does not provide a unique angle
Solution Approach 1:
The patent applies asymmetry by introducing a calibration matrix that breaks the symmetric ambiguity between positive and negative angles. The calibration matrix contains asymmetric correction factors derived from known reference positions, allowing the system to distinguish between symmetric angle candidates (e.g., +θ and -θ) by applying position-specific calibration data that breaks the symmetry and identifies the correct unique angle.
Solution Approach 2:
The patent changes parameters by incorporating calibration data that transforms the ambiguous angle parameter into a disambiguated parameter. The calibration matrix modifies the relationship between range rate and angle by introducing correction factors that account for system-specific characteristics, thereby transforming the ambiguous angle estimation into a precise unique angle determination.
2Measurement precision
If individual sensor calibration is performed for each sensor position, then measurement accuracy is improved, but the complexity and time consumption increase
Solution Approach 1:
The patent applies universality by creating a single calibration matrix that serves all sensor positions simultaneously. Instead of performing separate calibration procedures for each sensor, the system generates one comprehensive calibration matrix containing correction factors for multiple reference positions, which can then be applied universally to disambiguate angles from all sensors in the array, greatly reducing overall system complexity.
Solution Approach 2:
The patent applies preliminary action by pre-calculating calibration factors for multiple reference positions in advance and storing them in a calibration matrix. This preliminary calibration process is performed once during system setup or initialization, and the resulting matrix is then reused for all subsequent angle determinations, eliminating the need for repeated individual sensor calibrations during operation.
3Measurement precision
If classical angle finding methods are used, then angle can be calculated, but the process is time consuming due to Fourier transform requirements
Solution Approach 1:
The patent substitutes the mechanical Fourier transform process with a simpler mathematical operation. Instead of performing computationally intensive Fourier transforms to determine angle from range rate, the system uses direct algebraic calculations combined with lookup operations in a pre-computed calibration matrix, replacing the complex signal processing mechanism with a more efficient mathematical approach.
Solution Approach 2:
The patent applies preliminary action by pre-computing the calibration matrix containing all necessary correction factors for various reference positions before actual angle determination is needed. This preliminary computation phase separates the heavy computational work from the real-time angle calculation, allowing rapid angle determination during operation by simply looking up and applying pre-calculated factors rather than performing complex transforms in real-time.
Data Source
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AI summary
A computer implemented method for determining an angle of a detection comprises the following steps carried out by computer hardware components: acquiring a range rate of the detection; determining a pair of candidate angles of the detection based on the range rate; acquiring a beamvector of the detection; determining a correlation between the beamvector and a reference vector; and determining the angle of the detection based on the pair of candidate angles and based on the correlation.