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Xiaofei Zhang
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 234
Citations - 3519
Xiaofei Zhang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Direction of arrival & Radar. The author has an hindex of 24, co-authored 210 publications receiving 2545 citations. Previous affiliations of Xiaofei Zhang include South Central University for Nationalities & Nanjing University.
Papers
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Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC
TL;DR: This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein that can avoid the high computational cost within two-dimension MUSIC (2D-MUSic) algorithm.
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DOA Estimation Based on Combined Unitary ESPRIT for Coprime MIMO Radar
TL;DR: A combined unitary estimation of signal parameters via rotational invariance technique (ESPRIT)-based algorithm is proposed, which obtains more accurate DOA estimation, achieves higher angle resolution, and identifies more targets than conventional methods.
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Sparsity-Based Two-Dimensional DOA Estimation for Coprime Array: From Sum–Difference Coarray Viewpoint
TL;DR: This paper addresses the issue of two-dimensional (2-D) direction of arrival (DOA) estimation with coprime planar arrays (CPPAs) via sparse representation through a new sparse representation algorithm that can achieve aperture extension, high estimation performance, and low computational complexity.
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Generalized Nested Array: Optimization for Degrees of Freedom and Mutual Coupling
TL;DR: A generalized nested array with two flexible co-prime factors for enlarging the inter-element spacing of two concatenated uniform linear subarrays with the same number of degrees of freedom as (super) nested array but with reduced mutual coupling is proposed.
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Improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using propagator method
TL;DR: This paper proposes an improved two-dimensional direction-of-arrival (DOA) estimation algorithm for two-parallel uniform linear arrays using PM that has better angle estimation performance, and lower complexity.