Multiple snapshot direct data domain approach and ESPRIT method for direction of arrival estimation

Authors:
Nuri Yilmazer;Seckin Ari;Tapan K. Sarkar
Affiliations:
Department of Electrical Engineering and Computer Science, Texas A&M University--Kingsville, Kingsville, TX 78363, USA;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244-1240, USA;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244-1240, USA
Venue:
Digital Signal Processing
Year:
2008

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Abstract

In this study, the performance of the matrix pencil (MP) method and the estimation of signal parameters using rotational in-variance technique (ESPRIT) method have been compared under varying number of snapshots taken. The matrix pencil method applies the technique directly to the data to estimate the poles, and works well under the correlated signal case, as opposed to ESPRIT, a statistical subspace based estimation technique, which will work after applying some additional spatial smoothing techniques to tackle the ill conditioning problem of the covariance matrix. Simulation results are provided to show the performance of these two methods.