Sparse array signal processing provides a systematic framework for sparse sampling and array structure with enlarged aperture, enhanced spatial resolution, increased degrees of freedom (DOFs), and reduced mutual coupling. Different co-array based approaches, e.g., spatial smoothing technique based algorit...
Electrical engineering Wideband near-field array signal processing using the sparse representation framework COLORADO STATE UNIVERSITY Mahmood R. Azimi-Sadjadi DinstelAmandaRecently, the field of sparse representation has attracted a great deal of attention from the perspective of target bearing (angle of ...
This was the main premise in designing signal compre... L Stankovi?,E Sejdi?,S Stankovi?,... - 《Circuits Systems & Signal Processing》 被引量: 1发表: 2019年 SAFT Applied to Anisotropic and Attenuative Materials Using Sparse Array Data and Signal Processing Improved SAFT imaging ...
We analyze the performance of several algorithms designed to solve the inverse sparse problem when they are applied to array signal processing. Specifically we study the error on the estimation of the complex envelope and the direction of arrival of signals of interest in the presence of interferenc...
In: Proceedings of IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Vol. 9, pp. 214–217 (1984) Bresler, Y., Macovski, A.: On the number of signals resolvable by a uniform linear array. IEEE Trans. Acoust. Speech Signal Process. 34(6), 1361–1375 (...
arXiv: Signal Processing Feb 2021 0被引用 0笔记 摘要原文 Sparse array design aided by emerging fast sensor switching technologies can lower the overall system overhead by reducing the number of expensive transceiver chains. In this paper, we examine the active sparse array design enabling the maxi...
His research interests include statistical signal processing, sparse array signal processing, and control systems. Moeness Amin received the B.Sc. degree from the Faculty of Engineering, Cairo University in 1976, M.Sc. from University of Petroleum and Minerals in 1980, and a Ph.D. degree from ...
In the field of array signal processing, the direction-of-arrival (DOA) estimation accuracy of the incident sources is proportional to the aperture of the antenna array, and therefore an array with a larger aperture is desired [1]. However, to avoid the phase ambiguity in DOA estimation, it...
Array signal processing is a fundamental technology widely used in various applications such as radar, sonar, navigation, wireless communications, remote sensing, electronic countermeasures, and radio astronomy [1], [2], [3], [4], [5], [6], [7], [8]. Direction finding of signals using ...
Electrical engineering Sparse Spectrum Fitting in Array Processing UNIVERSITY OF MINNESOTA Mostafa Kaveh ZhengJimengIn this thesis, we focus on the application of sparsity-encouraging regularization techniques to the problem of Direction-Of-Arrival (DOA) estimation using sensor arrays. By developing the ...