MIMO FMCW Radar Target Separation via Subsequence Processing
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Solution Overview
Problem
MIMO radar systems face challenges in accurately determining the angle of azimuth for radar targets, especially when multiple targets have overlapping signal components, as existing methods struggle to explicitly associate distance and velocity values with individual targets in such cases.
Innovation Solution
The method involves transmitting a sequence of chirps via multiple channels, using a first subsequence for distance and velocity determination and additional subsequences with fewer chirps to calculate spectral values for each target, allowing for the separation of overlapping signal components and determination of the angle of azimuth through digital signal processing techniques like Fourier transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple radar targets have overlapping signal components, then the detection complexity increases, but the ability to explicitly associate distance and velocity values with individual targets deteriorates
Solution Approach 1:
The patent segments the processing of radar targets by separating distance/velocity determination (using first subsequence) from angle determination (using second subsequence). This segmentation allows overlapping signal components to be handled in distinct processing stages, resolving the contradiction by reducing processing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent introduces velocity values as an intermediary parameter that bridges distance measurement and angle determination. By using velocity values obtained from the first subsequence as input for the second subsequence processing, the system resolves overlapping signal components without increasing overall complexity.
2Measurement precision
If a first subsequence with sufficient chirps is used for distance and velocity determination, then measurement accuracy improves, but the time required for processing increases
Solution Approach 1:
The patent divides the chirp sequence into two subsequences with different lengths and purposes. The first subsequence contains sufficient chirps for accurate distance and velocity determination, while the second subsequence (with fewer chirps) is dedicated to angle determination. This segmentation reduces total processing time while maintaining measurement accuracy.
Solution Approach 2:
The patent applies partial action by using only the necessary number of chirps for each measurement task. The first subsequence uses the minimum required chirps for distance/velocity accuracy, and the second subsequence uses fewer chirps sufficient for angle determination, avoiding excessive processing time while maintaining required precision.
3Productivity
If additional subsequences with fewer chirps are used for angle determination, then processing efficiency improves, but the complexity of coordinating multiple subsequences increases
Solution Approach 1:
The patent implements feedback by using velocity values determined from the first subsequence as input parameters for processing the second subsequence. This feedback mechanism coordinates the multiple subsequences systematically, improving processing efficiency while managing complexity through structured information flow.
Solution Approach 2:
The patent performs preliminary determination of distance and velocity values using the first subsequence before processing the second subsequence for angle determination. This preliminary action prepares the necessary parameters in advance, enabling more efficient processing of subsequent subsequences while maintaining organized coordination.
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 approach enables precise detection and separation of radar targets with overlapping signal components, improving the accuracy of angle determination and resolving the ambiguity in associating distance, velocity, and angle values with individual targets.
Implementation Method 1
providing a digital radar signal having a sequence of signal segments, wherein each signal segment of the sequence is respectively associated with a chirp of a transmitted RF radar signal
Implementation Method 2
detecting one or more radar targets based on a first subsequence of successive signal segments of the sequence... a velocity value is determined for each detected radar target
Implementation Method 3
calculating an angle for each of the detected radar targets based on the further subsequences... through digital signal processing techniques like Fourier transformations
Data Source
AI summary
Methods for detecting radar targets are provided. According to one exemplary embodiment, the method includes providing a digital radar signal having a sequence of signal segments. Each signal segment of the sequence is respectively associated with a chirp of a transmitted RF radar signal. The method further includes detecting one or more radar targets based on a first subsequence of successive signal segments of the sequence. For each detected radar target, a distance value and a velocity value are determined. If a group of radar targets having overlapping signal components has been detected, a respective spectral value is calculated for each radar target of the group of radar targets based on a second subsequence of the sequence of signal segments and further based on the velocity values ascertained for the group of radar targets.