Abstract
Abstract. In a multitude of applications like e.g. in automotive radar systems a localization of multiple passive targets in the observed area is necessary. This contribution presents a robust approach based on trilateration to detect point scatterers in a two-dimensional plane using the reflection and transmission information of only two antennas. The proposed algorithm can identify and remove ambiguities in target detection which unavoidably occur in certain target constellations in such a two-antenna configuration.
Highlights
In recent years, a number of applications for close-range imaging via millimeter wave radar sensors like automotive radar systems (Wenger, 1998) or through-wall imaging (Yang and Fathy, 2007) emerged for locating multiple targets in the environment
In some cases the choice of a small antenna distance to avoid such ambiguities probably does not fulfill the requirements of reconstruction accuracy, as a small antenna distance leads to bigger ambiguity areas as explained in the preceding Sect. 2.1
A trilateration algorithm was introduced that reduces the problem of ghost scatterers in a two-antenna setup for imaging purposes in the plane. The basis of this approach is the systematic description of the generation of ghost targets in dependence of the scatterer placing and the choice of the antenna distance
Summary
A number of applications for close-range imaging via millimeter wave radar sensors like automotive radar systems (Wenger, 1998) or through-wall imaging (Yang and Fathy, 2007) emerged for locating multiple targets in the environment. Current implementations often use either mechanical shifts of the antenna position to synthesize a virtually enlarged aperture exhibiting an increased lateral resolution or use electronically adjustable narrow beam antenna arrays in order to detect the position of passive radar targets in two or three spatial dimensions. These approaches suffer from the complexity in hardware equipment and signal processing (Yang and Fathy, 2007).
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