Periphery Monitoring Radar Azimuth Calculation in Complex Environments
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Solution Overview
Problem
Radar devices face decreased accuracy in calculating the azimuth of monitoring targets due to complex peripheral environments, such as overlapping peaks from roadside objects or multiple reflection peaks from vehicle wheels, leading to erroneous position calculations.
Innovation Solution
A periphery monitoring radar device that combines transmission signals using multiple modulation modes (FMCW and 2FCW) to generate frequency spectra, determines the complexity of the environment based on the randomness of these spectra, and adjusts azimuth calculations to exclude erroneous values, thereby improving position calculation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple modulation modes are used to improve detection accuracy, then the detection accuracy of objects is improved, but the complexity of the radar device and signal processing increases
Solution Approach 1:
The patent segments the signal processing by handling each modulation mode separately through dedicated spectrum generation units, azimuth calculation units, and environment determination units for each mode. This modular segmentation allows the system to process multiple modulation modes (FMCW, 2FCW, etc.) independently, managing complexity while maintaining improved detection accuracy through multi-mode operation
Solution Approach 2:
The patent applies preliminary action by determining the peripheral environment complexity in advance before final position calculation. The environment determination unit assesses whether the environment is complex based on frequency spectrum randomness, and this determination is used to selectively process or exclude azimuth data from specific modulation modes before calculating the final object position, thereby preventing error propagation
2Measurement precision
If azimuth calculations are performed for all modulation modes, then more data is available for position calculation, but erroneous azimuths from complex environments degrade accuracy
Solution Approach 1:
The patent extracts and removes erroneous azimuth data from the calculation process. The environment determination unit identifies modulation modes operating in complex environments by analyzing frequency spectrum randomness, and the position calculation unit excludes azimuths from these identified modes. This extraction of unreliable data ensures that only azimuths from reliable modulation modes contribute to the final position calculation, maintaining high accuracy
Solution Approach 2:
The patent implements feedback through the environment determination unit that continuously monitors the frequency spectrum randomness for each modulation mode and provides feedback to the position calculation unit. This feedback mechanism allows the system to dynamically adjust which modulation mode azimuths are used based on real-time environment assessment, ensuring reliable position calculation even when some modes experience complex environmental conditions
Data Source
AI summary
A periphery monitoring radar device includes a transmission unit, a reception unit, a spectrum generation unit, an azimuth calculation unit, an environment determination unit, and a position calculation unit. The transmission unit transmits a combination of transmission signals modulated using a plurality of modulation modes. The environment determination unit determines whether a peripheral environment is a complex environment from the degree of randomness of a frequency spectrum for each modulation mode. The position calculation unit removes, upon the peripheral environment for at least one modulation mode being determined to be the complex environment, at least one azimuth corresponding to the at least one modulation mode from the azimuths respectively calculated for modulation modes to thereby obtain at least one target azimuth that is at least one of the remaining azimuths except for the removed azimuth; and calculates a position of the vehicle based on the at least one target azimuth.