It is well-known that ﬁltering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D ﬁltering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The ﬁrst and simplest method is based on the 2-D periodogram, whereas the second method is a generalization of the 2-D Capon method. In the experimental part, both qualitative and quantitative measurements show that the proposed methods are well-suited for solving the joint estimation problem. Furthermore, it is shown that the methods are able to resolve signals separated sufﬁciently in only one dimension. In the case of closely spaced sources, however, the 2-D Capon-based method shows the best performance.
|Tidsskrift||Proceedings of the European Signal Processing Conference|
|Status||Udgivet - 2010|
|Begivenhed||European Signal Processing Conference 2010 - Aalborg, Danmark|
Varighed: 23 aug. 2010 → 27 aug. 2010
|Konference||European Signal Processing Conference 2010|
|Periode||23/08/2010 → 27/08/2010|