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.
Reference27 articles.
1. Athley, F.: Threshold Region Performance of Maximum Likelihood Direction of Arrival Estimators, IEEE Trans. on Signal Processing, 53, 1359–1373, 2005.
2. Barabell, A J.: Improving the Resolution Performance of Eigenstructure-Based Direction Finding Algorithms, in: IEEE Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing, 8, 336–339, 1983.
3. Capon, J.: High Resolution Frequency-Wavenumber Spectrum Analysis, IEEE Proc., 57, 1408–1418, 1969.
4. Gershman, A B. and Stoica, P.: Mode with Extra-Roots (MODEX): A new DOA Estimation Algorithm with an Improved Threshold Performance, in: IEEE Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing, 1999.
5. Haykin, S., Ho, T., Litva, J., McWhirter, J., Nehorai, A., and Nickel, U.: Radar Array Processing, Springer, 1 edn., 1993.
Cited by
44 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献