Sparse Billboard and T-Shaped Arrays for Two-Dimensional Direction of Arrival Estimation
نویسندگان
چکیده
In two-dimensional direction of arrival (2D-DOA) estimation, planar arrays can estimate the elevation and azimuth angles simultaneously. However, many array topologies such as billboard, L-shaped, T-shaped, 2D nested suffer from mutual coupling that results small separation between physical sensors (antennas), which limits estimation capability sensor array. an attempt to reduce sensors, this article proposes sparse billboard T-shaped in number closely separated is significantly reduced. addition extending CRB for fourth order coarray, also derives closed-form expressions locations consecutive lags or uniform degrees freedom (uDOF), fourth-order difference coarray (FODC). Simulation demonstrate robustness proposed against coupling.
منابع مشابه
Direction of Arrival Estimation and Tracking with Sparse Arrays
Direction of Arrival Estimation and Tracking with Sparse Arrays Jian-Feng Gu, Ph.D. Concordia University, 2013 Direction of Arrival (DOA) estimation and tracking of a plane wave or multiple plane waves impinging on an array of sensors from noisy data are two of the most important tasks in array signal processing, which have attracted tremendous research interest over the past several decades. I...
متن کاملBiologically Inspired Four Elements Compact Antenna Arrays With Enhanced Sensitivity for Direction of Arrival Estimation
A new four elements compact antenna array is presented and discussed to achieve enhanced phase resolution without sacrificing the array output power. This structure inspired by the Ormia Ochracea’s coupled ears. The analogy between this insect acute directional hearing capabilities and the electrically compact antenna array is used to enhance the array sensitivity to direction of arrival estima...
متن کاملSparse Methods for Direction-of-Arrival Estimation
3 Sparse Representation and DOA estimation 7 3.1 Sparse Representation and Compressed Sensing . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.1 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.2 Convex Relaxation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.1.3 `q Optimization . . . . . . . . . . . . . . . . . . . ....
متن کاملA Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array
In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational cost. In addition, the cross-correlation matrix eliminates the ef...
متن کاملSparse reconstruction for direction-of-arrival estimation using multi-frequency co-prime arrays
In this paper, multi-frequency co-prime arrays are employed to perform direction-of-arrival (DOA) estimation with enhanced degrees of freedom (DOFs). Operation at multiple frequencies creates additional virtual elements in the difference co-array of the co-prime array corresponding to the reference frequency. Sparse reconstruction is then used to fully exploit the enhanced DOFs offered by the m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE open journal of signal processing
سال: 2023
ISSN: ['2644-1322']
DOI: https://doi.org/10.1109/ojsp.2023.3278593