single snapshot doa estimation
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ID: 144041
2010
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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.
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.
| Reference Key |
hcker2010advancessingle
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|---|---|
| Authors | ;P. Häcker;B. Yang |
| Journal | neuropsychiatrie : klinik, diagnostik, therapie und rehabilitation : organ der gesellschaft osterreichischer nervenarzte und psychiater |
| Year | 2010 |
| DOI |
10.5194/ars-8-251-2010
|
| URL | |
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