Radar Distance Estimation Using Displacement Regression
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Solution Overview
Problem
Conventional radar systems using dual frequency continuous wave radar apparatuses face challenges in accurately estimating the distance to forward objects due to lower observation accuracy of distance compared to velocity, leading to initial value deviations that hinder precise state estimation.
Innovation Solution
An estimation apparatus that calculates temporal displacement using observed velocities and performs regression analysis with distance as the objective variable and displacement as the explanatory variable to improve the accuracy of initial values for state estimation filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear regression analysis is performed on observed distance to set initial values for state estimation filter, then the estimation process can start, but the initial values deviate significantly from real values due to low distance observation accuracy, resulting in poor estimation accuracy at early stages
Solution Approach 1:
The patent introduces displacement as an intermediary variable to bridge the gap between velocity observations and distance estimation. By calculating displacement through temporal integration of velocity and using it as a mediator in regression analysis, the system indirectly obtains more accurate distance information without directly relying on inaccurate distance observations.
Solution Approach 2:
The patent replaces direct distance measurement (which is inaccurate) with a computational approach using velocity integration. Instead of relying on the direct distance observation mechanism, the system substitutes it with a mathematical model that integrates velocity over time to derive displacement, thereby obtaining more reliable distance-related information.
2Device complexity
If observed distance is used directly for regression analysis, then the process is simple, but the low accuracy of distance observation from phase information leads to large deviations in initial values
Solution Approach 1:
The patent performs preliminary calculation of displacement through velocity integration before conducting regression analysis. By pre-processing the velocity data to obtain displacement values, the system prepares more accurate input data for the subsequent regression analysis, improving the overall accuracy without significantly increasing complexity.
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 more accurate estimation of distances and positions of forward objects, reducing the impact of initial value deviations and enhancing the accuracy of state estimation at the early stages of the estimation process.
Implementation Method 1
Radar apparatuses receive an echo signal based on a radar wave transmitted to a forward object
Implementation Method 2
the velocity of the forward object obtained as frequency information based on Doppler shift
Implementation Method 3
uses observations of the velocity of the forward object observed by the observer at the respective times within the predetermined period to calculate, for each of the times within the predetermined period, a temporal integral value of the observations from a start time of the predetermined period to a corresponding one of the times
Implementation Method 4
performs regression analysis using, as samples, observations of the distance and the calculated displacement observations at the respective times within the predetermined period
Data Source
AI summary
An estimation apparatus includes a distance estimator. The distance estimator performs regression analysis using, as samples, an observation of distance and an observation at each time within a predetermined period obtained by an observer. The estimation apparatus estimates that a value of the distance upon a value of a displacement calculated in accordance with a regression equation based on the regression analysis being zero shows a value of the distance to the forward object at a start time.