Survey on tensor signal algebraic filtering
Signal Processing
Multidimensional Noise Removal Based on Fourth Order Cumulants
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Fast subspace-based tensor data filtering
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Passive localization of mixed near-field and far-field sources using two-stage MUSIC algorithm
IEEE Transactions on Signal Processing
High-resolution algorithm for image segmentation in the presence of correlated noise
Journal of Electrical and Computer Engineering
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We consider the problem of direction of arrival (DOA) estimation in the presence of multipath propagation. The sensor elements are assumed to be linear and uniformly spaced. To perform DOA estimation, we combine two existing algorithms which are often used for other purposes. The first algorithm exploits fourth-order cumulants to perform blind estimation of the steering vectors and the second algorithm estimates the directions of arrival using the estimated vectors. We refer to this two step approach as the SV-DOA estimation algorithm. We also present an algorithm independent performance analysis for the DOA estimation problem based on fourth-order cumulants. We summarize the algorithms and present Monte-Carlo simulations demonstrating the effectiveness of the SV-DOA algorithm as well as verifying the performance analysis using an optimal (but computationally expensive) DOA estimation algorithm