Radar Sensor Velocity and Distance Detection via Spectral Matching
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Solution Overview
Problem
Current radar sensor technologies for motor vehicles face challenges in achieving precise velocity and distance estimation of detected objects with minimal hardware and computing effort, especially when multiple objects are present, as they require complex analysis and high computing power.
Innovation Solution
A method that generates a measuring signal by mixing a transmitted signal with a received signal, using frequency modulations, to ascertain relative velocity and distance information through frequency spectra analysis, allowing for precise matching and reducing the need for steep frequency ramps and excessive computing power by considering ambiguity ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple frequency modulation ramps with different ramp slopes are used to identify multiple radar objects, then the determination of relative velocity and distance becomes possible, but the device complexity and computing effort increase
Solution Approach 1:
The patent divides the analysis into separate processing stages: first determining distance information from frequency position, then determining velocity information from phase position, and finally combining these segmented results to achieve complete target parameter determination. This segmentation reduces the complexity of simultaneous multi-parameter analysis.
Solution Approach 2:
The patent transforms the problem from analyzing multiple frequency modulation ramps in the time domain to analyzing frequency spectra and phase spectra in the frequency domain. This dimensional transformation simplifies the extraction of target parameters by separating distance and velocity information into different spectral dimensions.
2Measurement precision
If a high number of steep signal pulses are used in the chirp sequence method, then precision of velocity and distance determination is achieved, but computing effort increases excessively
Solution Approach 1:
The patent extracts distance information and velocity information from separate spectral characteristics (frequency position and phase position respectively) rather than requiring complete analysis of all signal pulse parameters. This extraction approach achieves precise determination with reduced computing effort by focusing on the most informative spectral features.
Solution Approach 2:
The patent uses a moderate number of frequency modulation ramps rather than requiring a high number of steep signal pulses. By analyzing the frequency and phase spectra of these ramps effectively, the patent achieves precise measurement without the excessive computing effort that would result from processing many more signal pulses.
3Measurement precision
If three measuring cycles with different unambiguous ranges are used, then unambiguous determination of velocity and distance is achieved, but the loss of time increases
Solution Approach 1:
The patent combines distance determination and velocity determination into a unified analysis process using frequency and phase spectra from the same frequency modulation ramps. This merging eliminates the need for separate measuring cycles, achieving unambiguous determination in a single measurement cycle rather than requiring multiple sequential cycles.
Solution Approach 2:
The patent performs preliminary spectral analysis (frequency spectrum and phase spectrum calculation) from the received signals, which provides both distance and velocity information simultaneously. This preliminary action prepares the data in a form that enables direct determination of both parameters without requiring additional measurement cycles.
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
This method enables precise velocity and distance estimation of radar objects with reduced hardware and computing requirements, improving separability of multiple objects and maintaining high precision without excessive demands on hardware or analysis complexity.
Implementation Method 1
each radar object in the frequency spectrum of a channel emerges in the form of a peak, whose location is a function of the Doppler shift and the runtime of the radar signals
Implementation Method 2
the location is a function of the Doppler shift and the runtime of the radar signals
Implementation Method 3
A baseband signal to be analyzed, which is analyzed, is generated from a received signal by mixing with the transmitted signal
Data Source
AI summary
In a method for detecting radar objects with the aid of a radar sensor of a motor vehicle, a transmitted signal has a sequence of frequency modulations, to each of which a partial signal of a measuring signal is assigned; first information about the relative velocity and the distance of a radar object is ascertained based on a frequency spectrum of at least one of the partial signals; second information about the relative velocity and the distance of the radar object is ascertained based on a frequency spectrum of a time curve of values of frequency spectra of the partial signals at a frequency position of the radar object in these frequency spectra; and the relative velocity and the distance of the radar object are ascertained based on matching of the first information with the second information.