Radar Signal Processing for Adaptive Range and Doppler Resolution

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Solution Overview

Problem

Radar systems face challenges in optimizing parameters for different applications, such as parking assistance and collision avoidance, as they require varying range and Doppler resolution, making it difficult to achieve optimal performance for both tasks simultaneously.

Innovation Solution

A radar method and system that utilize two-dimensional signal processing to distinguish between Doppler and range frequency components by organizing samples in a matrix, allowing for switching between modes to maximize either range spectrum or Doppler resolution based on the application, using stepped frequency sweeps and phase rotation analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the radar system is optimized for high range resolution to detect small obstacles in parking assistance, then the ability to resolve closely-spaced objects is improved, but the maximum detection range is reduced

Engineering Contradiction:
Improverange resolutionVSAvoiddetection range
Core Design Contradiction:
Measurement precisionVSLength of stationary object

Solution Approach 1:

The radar system dynamically adjusts its operational parameters by switching between different modes (parking assistance mode and collision avoidance mode) based on the detected scenario. In parking assistance mode, the system uses frequency sweeps optimized for high range resolution with smaller frequency steps, while in collision avoidance mode, it transitions to larger frequency steps and different sweep parameters to extend detection range, thus adapting the system characteristics to match the specific application requirements

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes key parameters including frequency sweep range, frequency step size, and number of sweeps based on the operational mode. For high range resolution, it uses smaller frequency steps and larger sweep ranges, while for extended detection range, it employs larger frequency steps and adjusted sweep parameters, allowing the radar to optimize performance for different detection scenarios

Inventive Principle:
Principle #35Parameter changes

2Length of stationary object

If the radar system uses larger frequency steps to extend detection range, then the maximum detection distance is improved, but the range resolution deteriorates

Engineering Contradiction:
Improvedetection rangeVSAvoidrange resolution
Core Design Contradiction:
Length of stationary objectVSMeasurement precision

Solution Approach 1:

The radar system dynamically switches between collision avoidance mode (using larger frequency steps for extended range) and parking assistance mode (using smaller frequency steps for high resolution) based on the operational context, allowing it to adapt its frequency sweep characteristics to prioritize either detection range or resolution depending on the specific application requirements

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If the radar system integrates multiple frequency sweeps to improve velocity resolution, then the Doppler resolution is improved, but the detection range is reduced

Engineering Contradiction:
ImproveDoppler resolutionVSAvoiddetection range
Core Design Contradiction:
Measurement precisionVSLength of stationary object

Solution Approach 1:

The system dynamically adjusts the number of frequency sweeps and integration time based on the operational mode. In collision avoidance mode, it uses fewer sweeps with larger frequency steps to maintain detection range while achieving sufficient velocity resolution for high-speed scenarios. In parking assistance mode, it integrates multiple sweeps with smaller frequency steps to achieve high Doppler resolution for detecting slow-moving obstacles, thus adapting the sweep integration strategy to the specific velocity requirements of each scenario

Inventive Principle:
Principle #15Dynamics

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

Enables flexible optimization of radar systems to adapt to different applications by enhancing either range or Doppler resolution dynamically, improving the system's ability to detect objects and their velocities effectively in various scenarios.

Implementation Method 1

radar method for determining the range to at least one object and a velocity of the object, the method comprising transmitting sequentially a plurality of RF signals

Methodology Applied
Scientific EffectRadar: Radar

Implementation Method 2

processing the samples in the first dimension to determine a phase rotation frequency corresponding to the samples in the first dimension, the phase rotation frequency comprising a Doppler frequency

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Data Source

PatentEP2353027B1Method and apparatus for radar signal processing
Publication Date: 2013.11.20 AUTOLIV ASP INC
  • EP2353027B1 patent drawingFigure 1
  • EP2353027B1 patent drawingFigure 2A~2B
  • EP2353027B1 patent drawingFigure 3A~3B

AI summary

A radar apparatus and method for determining the range to and velocity of an object comprising, transmitting a plurality of RF signals, each comprising a particular frequency, transmitted during a particular unique finite period, the plurality of signals collectively comprising signals having the same frequency and signals having different frequencies, receiving the plurality of signals after reflection from an object, determining a phase difference between each of the signals and the corresponding reflected signal; processing the phrase differences of the same frequency signal to determine a phase rotation frequency comprising a Doppler frequency for the object, processing phrase differences of different frequency signals to determine a second phase rotation frequency comprising Doppler frequency and range frequency for said object; comparing the first and second phase rotation frequencies to distinguish range frequency from Doppler frequency of the object; and converting the Doppler frequency to velocity and converting the range frequency to range.