Radar Signal Processing With Phase Normalization for Accurate AoA
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Solution Overview
Problem
Existing radar systems face errors in angle-of-arrival (AoA) and range estimation due to changes in carrier frequency, which affect the accuracy of radar signal processing and the generation of accurate radar image maps.
Innovation Solution
A phase normalization model is applied to compensate for carrier frequency changes by converting beat frequency signals between the time and angle domains using phase normalization matrices, allowing for precise AoA and range information calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If carrier frequency compensation is not performed, then the system is simple, but measurement precision deteriorates due to velocity-dependent frequency shifts
Solution Approach 1:
The patent applies preliminary action by pre-calculating compensation values for different velocity ranges before actual measurement. The system divides the velocity range into multiple segments and pre-determines the appropriate carrier frequency compensation value for each segment, so that during actual operation, the system only needs to select the pre-calculated compensation value based on the measured velocity range, rather than performing complex real-time calculations.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the carrier frequency compensation parameter based on the detected velocity range. The system changes the compensation parameter from a fixed value to a variable value that adapts to different velocity ranges, allowing the measurement system to maintain high precision across varying velocities while managing complexity through structured parameter management.
2Adaptability or versatility
If a single carrier frequency compensation value is used, then the system is simple, but adaptability deteriorates for objects with different velocities
Solution Approach 1:
The patent applies segmentation by dividing the continuous velocity range into multiple discrete velocity ranges. Each velocity range is associated with a specific carrier frequency compensation value. This segmentation allows the system to handle different velocity scenarios with appropriate compensation values while maintaining a manageable structure through clear range definitions and corresponding compensation values.
Solution Approach 2:
The patent applies dynamics by making the carrier frequency compensation value dynamic rather than static. The system automatically adjusts the compensation value based on the detected velocity range, transitioning from a fixed single-value approach to a multi-value adaptive approach. This dynamic adjustment enables the system to adapt to different measurement scenarios while maintaining operational simplicity through automated selection.
3Reliability
If carrier frequency shift is ignored, then processing is simple, but reliability deteriorates due to measurement errors in Doppler radar
Solution Approach 1:
The patent applies preliminary action by pre-establishing the relationship between velocity ranges and compensation values. Before actual measurement, the system prepares a structured set of compensation parameters corresponding to different velocity ranges. This preliminary preparation ensures that reliable compensation is available when needed, improving measurement reliability without requiring complex real-time computation during the actual measurement process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The phase normalization model enhances the resolving power of radar systems, enabling accurate AoA and range estimation, thereby improving the quality of radar image maps and supporting advanced driver assistance systems (ADAS) functions.
Implementation Method 1
a radar reflection signal obtained from the radar transmission signal being reflected from an object
Implementation Method 2
generating radar data by compensating the beat frequency signal for a carrier frequency change by the frequency modulation model
Data Source
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AI summary
A radio detection and ranging (radar) signal processing device obtains radar data by compensating for a change in a carrier frequency of a sensed radar signal, and outputs a radar image map based on the obtained radar data. The radar signal processing method includes obtaining a beat frequency signal based on a radar transmission signal generated based on a frequency modulation model and a radar reflection signal obtained from the radar transmission signal being reflected from an object, and generating radar data by compensating the beat frequency signal for a carrier frequency change by the frequency modulation model.