Radar sensors in the 24- and 77-GHz frequency domain will be used to increase comfort and safety in many future automotive applications. In this paper, a radar network with four short-range radars is considered. Each sensor measures individually only the range information of all targets inside the observation area. The Cartesian coordinates of each target are calculated by a trilateration technique based on range measurements selected in a data-association procedure. Estimating a target position based on range measurements is called trilateration. In contrast to this, estimation of a target position based on pure angular measurements is called triangulation. In automotive applications, situations with multiple targets almost always occur. Therefore, a high-performance data association is very important to separate and to distinguish between these targets. To avoid errors in the data-association step and resulting ghost targets, this paper describes a technique that combines the procedures of data association and position estimation into a single step. This signal-processing technique shows very good results in multitarget situations and reduces the number of ghost targets drastically.
Data association and tracking for automotive radar networks
IEEE Transactions on Intelligent Transportation Systems ; 6 , 4 ; 370-377
01.12.2005
392544 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Data Association and Tracking for Automotive Radar Networks
Online Contents | 2005
|New data association method for automotive radar tracking
IET Digital Library Archive | 2001
|Multitarget tracking procedures for automotive radar networks
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