Vehicle Radar Doppler Processing for Unambiguous Intrinsic Speed
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radar systems face ambiguities in determining the intrinsic speed of a vehicle due to multiple reflections, especially at lower speeds, which affect the accuracy of Doppler measurements.
Innovation Solution
A method is developed to calculate an unambiguous Doppler velocity using a vehicle radar system, incorporating Doppler hypothesis and odometry data to improve the estimation of intrinsic speed by resolving ambiguities through maximum likelihood estimation and host-kinetic information calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Doppler radar is used to measure vehicle speed, then speed measurement capability is provided, but measurement precision deteriorates due to Doppler ambiguities at lower speeds
Solution Approach 1:
The patent introduces an intermediary computational process (maximum likelihood estimation algorithm) that mediates between the ambiguous Doppler measurements and the intrinsic speed determination. This algorithm processes multiple radar measurements and odometry data to resolve ambiguities and extract accurate intrinsic speed information, acting as a mediator between the sensor data and the final speed estimate.
Solution Approach 2:
The patent changes the parameter representation by introducing host-kinetic information as an intermediate parameter that relates Doppler velocity to intrinsic speed through geometric relationships. By transforming the measurement parameters and using probabilistic modeling, the system can accurately determine intrinsic speed even when direct Doppler measurements are ambiguous.
2Adaptability or versatility
If multiple reflections are used for radar sensing, then detection coverage is improved, but measurement precision deteriorates due to Doppler ambiguities
Solution Approach 1:
The patent segments the Doppler velocity measurement problem into multiple independent measurements from different radar sensors and time instances. By processing each measurement separately through the maximum likelihood estimation framework and combining results probabilistically, the system maintains precision while utilizing multiple reflections and measurements for enhanced detection coverage.
3Measurement precision
If conventional Doppler radar systems are used, then velocity detection is provided, but device complexity increases without sufficient measurement precision
Solution Approach 1:
The patent creates a universal processing framework that handles multiple functions: it processes Doppler velocity measurements, integrates odometry data, performs maximum likelihood estimation, and determines intrinsic speed within a single unified algorithm. This multi-functional approach reduces overall system complexity by consolidating multiple processing tasks into one coherent system rather than requiring separate specialized processors for each function.
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 method enhances the accuracy of intrinsic speed estimation by minimizing errors in Doppler velocity measurements, providing improved precision in determining the vehicle's own speed and yaw movement.
Implementation Method 1
The system continuously emits a radar wave (frequency f) which is partly reflected by an object with a frequency shift Δf in compliance with the Doppler effect, which is proportional to the speed v of the vehicle
Data Source
AI summary
The present invention refers to a method for estimating an intrinsic speed of a vehicle using a vehicle radar system with at least one radar sensor (4) for monitoring the surroundings of the vehicle (1), the method involving transmitting a radar signal via a transmission antenna of the radar sensor, receiving one or more reflected wave signals via a receiving antenna of the radar sensor, the reflected wave signals being the radar signal reflected by one or more objects, calculating an unambiguous Doppler velocity (VD), wherein the unambiguous Doppler velocity (VD) is calculated by the measured ambiguous Doppler velocity (VD,CoG) and a Doppler hypothesis (VDHypo), calculating a host-kinetic information (κ) of the vehicle (1) by using the unambiguous Doppler velocity (VD), determining an estimation of the intrinsic speed of the vehicle from the host-kinetic information (κ).