Results 131 to 140 of about 281 (164)
A Virtual Nested MIMO Array Exploiting Fourth Order Difference Coarray
IEEE Signal Processing Letters, 2020 International audienceIn active direction of arrivals (DOA) sensing, themultiple-input multiple-output (MIMO) radar can lead to moredegrees of freedom (DOFs). The DOFs can be further increasedwhen the fourth order cumulants are used in MIMO. However,most
Zhe Fu, Pascal Chargé, Yide Wang
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A Joint Angle and Frequency Spectrum Estimation Algorithm Using Difference Coarray
Electronics (Switzerland), 2023 The spectrum sensing that jointly estimates direction-of-arrival (DOA) and frequency spectrum is an important issue for cognitive radio. Existing off-grid DOA estimation algorithms using difference coarray require a large number of snapshots to guarantee
Yaowen Fu
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Design of Novel Nested Arrays Based on the Concept of Sum-Difference Coarray [PDF]
Electronics (Switzerland), 2020 Nested arrays have recently attracted considerable attention in the field of direction of arrival (DOA) estimation owing to the hole-free property of their virtual arrays.
Weijian Si, Zhanli Peng, Changbo Hou
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Electronics (Switzerland), 2022 Recently, the concept of the difference and sum coarray has attracted increasing interest in the direction of the arrival estimation field because it can generate enhanced degrees of freedom. In this paper, we propose an improved transformed nested array
Shunan Zhong, Zhe Peng, Weijiang Wang
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Difference Coarray-Based Direction Finding via Covariance Fitting
IEEE Communications Letters, 2021Sparse linear arrays like nested arrays and coprime arrays, can offer more accurate direction-of-arrival estimation than uniform linear arrays by exploiting their difference coarrays. In this letter, we present a new algorithm for direction finding using difference coarray. The proposed estimator firstly formulates a recovery problem of a column vector
Zhi Zheng
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Coarray MUSIC-Group Delay: High-Resolution Source Localization Using Non-Uniform Arrays
IEEE Transactions on Vehicular Technology, 2021 Non-uniform linear arrays (NULA) operate in the difference coarray domain to localize more sources than the number of physical sensors. Usually, the spectral magnitude of the subspace-based coarray MUSIC algorithm is used for this task of underdetermined
Shekhar Kumar Yadav, Nithin V George
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Augmented Covariance Matrix Reconstruction for DOA Estimation Using Difference Coarray
IEEE Transactions on Signal Processing, 2021As is well known, nonuniform linear arrays have significant advantages in array aperture and degrees of freedom over uniform linear arrays. Using their difference coarrays, subspace-based approaches can be utilized to perform underdetermined and high-resolution direction-of-arrival (DOA) estimation.
Zhi Zheng +2 more
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Difference Coarrays of Rational Arrays
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Rational arrays were recently proposed for direction of arrival (DOA) estimation, and some of their advantages were discussed. In this paper we discuss further advantages of rational arrays, by considering their difference coarrays. Although integer arrays such as nested arrays, and coprime arrays are well-known for their ability to identify O (m² ...
Kulkarni, Pranav, Vaidyanathan, P. P.
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Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray
IEEE Transactions on Signal Processing, 2022 In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation using frequency diverse coprime array (FDCA). By incorporating the coprime array structure and coprime frequency offsets, a two-dimensional space-frequency virtual difference coarray corresponding to uniform array and uniform frequency offset is considered to
Zihuan Mao +2 more
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Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray
IEEE Signal Processing Letters, 2019In this letter, we devise a subspace updating algorithm for tracking directions-of-arrival (DOAs) using the difference coarray of a sparse array. Our solution is based on the projection approximation subspace tracking (PAST) framework, where we design new cost function and iterative process via spatial smoothing of the difference coarray output signal.
Zhi Zheng +2 more
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