Journal
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
Volume 69, Issue 1, Pages 1096-1104Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMTT.2020.3038667
Keywords
Automotive speed sensing; autonomous vehicles; ego-motion estimation; interferometry; millimeter-wave radar; velocity estimation
Categories
Funding
- Ford Motor Company
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This article demonstrates the use of interferometric radar for high-accuracy measurement of ground speed of moving vehicles, showing the potential application of this technology in automotive velocity estimation. Through mathematical modeling and two velocity estimation methods, the authors present the feasibility of the new interferometric radar system in the automotive field.
In this article, we demonstrate the use of interferometric radar for high-accuracy measurement of the ground speed of a moving vehicle. Recent work has shown the capability of radar systems using interferometric antenna apertures to directly measure the angular velocity of objects. In this work, we apply this new measurement to the automotive application of velocity estimation. We start by formulating the interferometric response from a ground surface, which is modeled as a summation of independent point scatterers. Next, we present two velocity estimation methods: a Bayesian method that uses a signal model and a neural network-based approach. We then describe a 40-GHz interferometric radar system that we have developed and present on-vehicle measurements. Finally, we present the results of the two estimators and compare these results with the theoretical accuracy of the system. We show that the Bayesian and neural net estimators achieved a root-mean-square velocity error of 0.403 and 0.183 m/s, respectively.
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