Direction-of-arrival (DOA) estimation of two targets with a single snapshot plays an important role in many practically relevant scenarios in automotive radar for driver assistance systems. Conventional Fourier-based methods cannot resolve closely spaced targets, and high-resolution methods are required. Thus, we consider the maximum likelihood DOA estimator, which is applicable with a single snapshot. To reduce the computational burden, we propose a grid search procedure with a simplified objective function. The required projection operators are pre-calculated off-line and stored. To save storage space, we further propose a rotational shift of the field of view such that the relevant angular sector, which has to be evaluated, is centered with respect to the broadside. The final estimates are obtained using a quadratic interpolation. An example is presented to demonstrate the proposed method. Also, results obtained with experimental data from a typical application in automotive radarAutomotive radar system are shown.
Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar
Smart Mobile In-Vehicle Systems ; Kapitel : 1 ; 3-18
05.11.2013
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Automotive radar , Direction of arrival (DOA) , Driver assistance systems , Maximum likelihood (ML) estimation Engineering , Signal, Image and Speech Processing , Control and Systems Theory , Automotive Engineering , User Interfaces and Human Computer Interaction , Communications Engineering, Networks
High resolution radar based 3D estimation of extended targets for automotive applications
TIBKAT | 2024
|