Region of Interest Based Adaptive High Resolution Parameter Estimation with Applications in Automotive Radar
Saeid K. Dehkordi, Nils Appenrodt, Juergen Dickmann, Christian Waldschmidt · 2018
High resolution processing for automotive radar is required to enhance the probability of target detection and classification in proceeding stages of driver assistance systems. As a result of the large computational demand associated with high resolution processing of the entire data set, real-time application of such methods remains a challenge. This paper presents a computationally efficient approach to achieve this goal by only processing Regions of Interest with the capability of utilizing a multi-dimensional variable resolution to meet necessary requirements for different applications.