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Single snapshot DOA estimation
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| Zeitschriftentitel: | Advances in Radio Science |
|---|---|
| Personen und Körperschaften: | , |
| In: | Advances in Radio Science, 8, 2010, S. 251-256 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Häcker, P. Yang, B. Häcker, P. Yang, B. |
|---|---|
| author |
Häcker, P. Yang, B. |
| spellingShingle |
Häcker, P. Yang, B. Advances in Radio Science Single snapshot DOA estimation General Medicine |
| author_sort |
häcker, p. |
| spelling |
Häcker, P. Yang, B. 1684-9973 Copernicus GmbH General Medicine http://dx.doi.org/10.5194/ars-8-251-2010 <jats:p>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. </jats:p> Single snapshot DOA estimation Advances in Radio Science |
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Copernicus GmbH, 2010 |
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Copernicus GmbH, 2010 |
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1684-9973 |
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1684-9973 |
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Advances in Radio Science |
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Single snapshot DOA estimation |
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Single snapshot DOA estimation |
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Single snapshot DOA estimation |
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Single snapshot DOA estimation |
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Single snapshot DOA estimation |
| title_short |
Single snapshot DOA estimation |
| title_sort |
single snapshot doa estimation |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.5194/ars-8-251-2010 |
| publishDate |
2010 |
| physical |
251-256 |
| description |
<jats:p>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.
</jats:p> |
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| container_title | Advances in Radio Science |
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| description | <jats:p>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. </jats:p> |
| doi_str_mv | 10.5194/ars-8-251-2010 |
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| imprint | Copernicus GmbH, 2010 |
| imprint_str_mv | Copernicus GmbH, 2010 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| spelling | Häcker, P. Yang, B. 1684-9973 Copernicus GmbH General Medicine http://dx.doi.org/10.5194/ars-8-251-2010 <jats:p>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. </jats:p> Single snapshot DOA estimation Advances in Radio Science |
| spellingShingle | Häcker, P., Yang, B., Advances in Radio Science, Single snapshot DOA estimation, General Medicine |
| title | Single snapshot DOA estimation |
| title_full | Single snapshot DOA estimation |
| title_fullStr | Single snapshot DOA estimation |
| title_full_unstemmed | Single snapshot DOA estimation |
| title_short | Single snapshot DOA estimation |
| title_sort | single snapshot doa estimation |
| title_unstemmed | Single snapshot DOA estimation |
| topic | General Medicine |
| url | http://dx.doi.org/10.5194/ars-8-251-2010 |