New Approaches for Two-Dimensional DOA Estimation of Coherent and Noncircular Signals with Acoustic Vector-sensor Array

This thesis is mainly concerned with the two-dimensional direction of arrival (2D-DOA) estimation using acoustic vector-sensor array for coherent signals and noncircular signals. As for coherent signals, the thesis proposes two algorithms, namely, a 2D-DOA estimation algorithm with acoustic vector-sensor array using a single snapshot, and an improved 2D-DOA estimation algorithm of coherent signals. In the first algorithm, only a single snapshot is employed to estimate the 2D-DOA, and the second is an improved algorithm based on the method of Palanisamy et al. Compared to the existing algorithm, the proposed algorithm has the following advantages: (1) lower computational complexity, (2) better estimation performance, and (3) acquiring automatically-paired 2D-DOA estimates. As for noncircular signals, we propose real-valued space PM and ESPRIT algorithms for 2D-DOA estimation using arbitrarily spaced acoustic vector-sensor array. By exploiting the noncircularity of incoming signals to increase the amount of effective data, the proposed algorithms can provide a better 2D-DOA estimation performance with fewer snapshots, which means a relatively lower sample rate can be used in practical implementations. Compared with the traditional PM and ESPRIT, the proposed algorithms provide better estimation performance while having similar computational complexity. Furthermore, the proposed algorithms are suitable for arbitrary arrays and yield paired azimuth and elevation angle estimates without requiring extra computationally expensive pairing operations