Results 71 to 80 of about 281 (164)
Sensors, 2019 In this paper, we derive the discrete Fourier transform (DFT) method for direction of arrival (DOA) estimation by generating the massive virtual difference co-array with the nested array. By contrast with the spatial smoothing (SS) subspace-based methods
Wei Wu +3 more
doaj +1 more source
Focused Compressive Sensing for Underdetermined Wideband DOA Estimation Exploiting High-Order Difference Co-Arrays [PDF]
, 2017 Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its ...
Zhang, Y.D. +5 more
core +1 more source
Sparse DOA Estimation Based on Multi-Level Prime Array With Compression
IEEE Access, 2019 A signal emitter can be located using diverse types of direction finding (DF) techniques. One of the most widely used techniques is the direction of arrival (DOA) estimation using antenna arrays.
Saleh A. Alawsh, Ali H. Muqaibel
doaj +1 more source
Direction‐of‐arrival estimation via coarray‐domain RELAX algorithm with source number estimation
IET Radar, Sonar &Navigation, Volume 18, Issue 1, Page 210-221, January 2024.The authors aim to maximally exploit spatial degrees‐of‐freedom for efficient source direction‐of‐arrival (DOA) estimation. To this end, the RELAX algorithm is modified for application to sparse arrays with uniformly spaced difference coarrays, such as minimum redundancy arrays, achieving DOA estimation of more sources than sensors without prior ...
Fauzia Ahmad, Moeness G. Amin
wiley +1 more source
, 2022 Nowadays, sparse multiple input and multiple output (MIMO) radar design considers the difference coarray of the sum coarray (DCSC) concept and the uniform degrees of freedom is improved significantly.
Xiaoguang Liu (8394861) +2 more
core +1 more source
DOA Estimation based on the Optimized Coprime Array Configuration
IEEE Access, 2019 In this paper, a direction-of-arrival (DOA) estimation based on the optimized coprime array (OpCA) configuration is proposed. The proposed array, utilizing the two constituting subarrays N-array and M-array of the coprime array, where their sensors are N
Ahmed Mohammed Ahmed Shaalan, Xiangyu Yu
doaj +1 more source
Underdetermined Direction of Arrival Estimation with Coprime Array Based on Matrix Completion
工程科学与技术, 2017 :In the existing DOA estimation methods based on coprime array,discarding the non-uniform virtual elements in the difference coarray leads to the decrease of the number of the resolvable sources.In order to solve the problem,a DOA estimation method based
吴晨曦, 张旻, 王可人
doaj
IEEE Access, 2018 In this paper, we propose a unified array geometry, dubbed generalized nested subarray (GNSA), for the underdetermined direction-of-arrival estimation.
Minglei Yang +4 more
doaj +1 more source
Novel coprime MIMO configurations for DOA estimation with increased degrees of freedom
Franklin OpenIn this work, we propose some coprime multiple input multiple output (MIMO) configurations for direction-of-arrival (DOA) estimation, which achieve more degrees of freedom (DOF) than all the existing coprime MIMO configurations. We know that in a coprime
Rajen Kumar Patra, Anindya Sundar Dhar
doaj +1 more source
Maximally economic sparse arrays and Cantor arrays
, 2017 Sparse arrays, where the sensors are properly placed with nonuniform spacing, are able to resolve more uncorrelated sources than sensors. This ability arises from the property that the difference coarray, defined as the differences between sensor ...
Chun-Lin Liu +3 more
core +1 more source