Abstract
Abstract. In array signal processing, direction of arrival (DOA) estimation has been studied for decades. Many algorithms have been proposed and their performance has been studied thoroughly. Yet, most of these works are focused on the asymptotic case of a large number of snapshots. In automotive radar applications like driver assistance systems, however, only a small number of snapshots of the radar sensor array or, in the worst case, a single snapshot is available for DOA estimation. In this paper, we investigate and compare different DOA estimators with respect to their single snapshot performance. The main focus is on the estimation accuracy and the angular resolution in multi-target scenarios including difficult situations like correlated targets and large target power differences. We will show that some algorithms lose their ability to resolve targets or do not work properly at all. Other sophisticated algorithms do not show a superior performance as expected. It turns out that the deterministic maximum likelihood estimator is a good choice under these hard conditions.
Highlights
A common problem in array signal processing is the estimation of the direction of arrival (DOA) of M targets using N sensors
We investigate and compare different DOA estimators with respect to their single snapshot performance
The following DOA algorithms are studied in this paper: Bartlett beamformer, Multiple Signal Classification (MUSIC), Deterministic Maximum Likelihood (DML), Stochastic Maximum Likelihood (SML) and Weighted Subspace Fitting (WSF)
Summary
A common problem in array signal processing is the estimation of the DOA of M targets using N sensors. The angels determine the position of the relevant targets uniquely relative to the host vehicle Using this information, the car can act in an intelligent way. To the knowledge of the authors, there is still no comparative study about which DOA algorithm to choose in the single snapshot case, which is what this paper is about. There are several reasons, why a single snapshot DOA estimation is attractive in automotive radar systems:. – The performance of DOA estimation using a single snapshot is worse than that of using multiple snapshots. – The computation time is decreased as the single snapshot case allows some additional simplifications in DOA estimation. 5, we use typical automotive scenarios to simulate the performance of the DOA algorithms and conclude our work in Sect.
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