Results 21 to 30 of about 479,510 (262)
Sensors, 2022 In this paper, we investigate the problem of sparse array design for the direction of the arrival (DOA) of non-Gaussian signals and exploit the unfolded coprime linear array with three subarrays (UCLATS) to obtain physical sensors location.
Meng Yang +3 more
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IEEE Access, 2018 In this paper, a novel array structure exploiting coprime arrays is proposed which can be very proficient to determine the number of consecutive lags in proportion with the number of array elements.
Tarek Hasan Al Mahmud +4 more
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A Performance Measurement Infrastructure for Co-array Fortran [PDF]
, 2005 Co-array fortran is a parallel programming language for scientific applications that provides a very intuitive mechanism for communication, and especially, one-sided communication. Despite the benefits of this integration of communication primitives with the language, analyzing the performance of caf applications is not straightforward, which is due ...
Bernd Mohr +2 more
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Local station correlation: large N-arrays and DAS
Seismica, 2023 The use of cross-correlation between seismic stations has had widespread applications particularly in the exploitation of ambient seismic noise. We here show how the effects of a non-ideal noise distribution can be understood by looking directly at ...
Brian Kennett +2 more
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Two-Stage Nested Array Direction of Arrival Estimation for Mixed Signals
Sensors, 2022 In this paper, a novel two-stage subspace-based direction of arrival (DOA) estimation algorithm with the nested array is proposed for mixed signals containing circular and non-circular ones.
Wanru Li, Ke Deng
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A Statistically Efficient Estimator for Co-array Based DoA Estimation [PDF]
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018 Co-array-based Direction of Arrival (DoA) estimation using Sparse linear arrays (SLAs) has recently gained considerable interest in array processing due to the attractive capability of providing enhanced degrees of freedom. Although a variety of estimators have been suggested in the literature for co-array-based DoA estimation, none of them are ...
Saeid Sedighi +2 more
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Low-complexity DOA estimation method for a co-prime linear array
The Journal of Engineering, 2019 The problem of direction-of-arrival (DOA) estimation for a co-prime linear array is researched. A low-complexity DOA estimation method is proposed. The co-prime array is decomposed into two sparse uniform linear sub-arrays whose inter-element spacing ...
Xuchen Wu +3 more
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Disproving Sum-Difference Co-Array Property
, 2023 The recently published paper by Gupta and Agrawal [1] exploited the sum-difference co-array (SDCA) to enhance the virtual aperture of sparse arrays. We argue that the key SDCA property established in [1] requires a critical necessary and sufficient condition that is valid for a very rare case only.
Dai, Jisheng, So, Hing Cheung
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Underdetermined DOA Estimation Under the Compressive Sensing Framework: A Review
IEEE Access, 2016 Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attracted tremendous attention in past years, where the underlying spatial sparsity reconstruction problem is linked to the compressive sensing (CS) framework.
Qing Shen, Wei Liu, Wei Cui, Siliang Wu
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DOA estimation of underwater acoustic co-frequency sources for the coprime vector sensor array
Frontiers in Marine Science, 2023 A coprime array with fewer sensors can achieve the same resolution as a uniform linear array. However, when detecting co-frequency targets, there can be prominent false alarms due to overlaps between the main and grating lobes of subarrays.
Xiao Chen +4 more
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