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Traditional adaptive beamformers have robustness just for specific error condition. They suffer performance degradation in the presence of multiple errors such as sample covariance matrix estimation error and steering vector mismatch. In this article, a new robust adaptive beamforming algorithm based on jointly estimating the covariance matrix and steering vector mismatch is proposed to overcome both...
Orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm in Compressed Sensing. In this letter, we study the performance of OMP in recovering the support of a sparse signal from a few noisy linear measurements. We consider two types of bounded noise and our analysis is in the framework of restricted isometry property (RIP). It is shown that under some conditions on RIP and the minimum...
The interest of web users can be revealed by the visited web pages and time duration on these web pages during their surfing. In this paper, each web access pattern from web logs is transformed into a fuzzy vector with predetermined dimension, each component being a fuzzy linguistic variable or 0 representing the visited web page and the time duration on this web page. Fuzzy simulation is used to...
A large number of signal processing researches are concerning with estimating unknown signal parameters from antenna arrays. In this paper, the parameter estimation problem is focused on time delay and direction-of-arrival (DOA) estimation, here called two-dimensional code acquisition. Multiple signal classification (MUSIC) is addressed to perform the two-dimensional code acquisition in direct-sequence...
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