Results 101 to 110 of about 256 (131)

Left-Right ambiguity resolution for coprime sparse arrays

The Journal of the Acoustical Society of America, 2022
Coprime Sparse Arrays (CSA) with two collocated uniform linear arrays are used to estimate O(MN) direction of arrivals for a narrow band source with only O(M+N) sensors. The CSA cannot discriminate the azimuth and its complementary angles due to the symmetry along the array-axis.
Baiju M, Nair, Rubin Jose, Peter, Arun, Kumar, Rajendar, Bahl   +3 more
openaire   +2 more sources

Coprime Array Design with Minimum Lag Redundancy

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
In this paper, we propose a new sparse coprime array design that achieves a higher number of degrees-of-freedom for direction-of-arrival (DOA) estimation. The proposed array design completely avoids lag redundancies between the two constituting subarrays of the coprime array, thus achieving the maximum number of unique correlation lags under the ...
Ammar Ahmed, Yimin D. Zhang, Jian-Kang Zhang 0002   +2 more
openaire   +1 more source

Sampling with semi-coprime arrays

The Journal of the Acoustical Society of America, 2018
This research introduces a new array geometry called Semi-Coprime Array (SCA) that has the potential to significantly increase the degrees of freedom of a Uniform Linear Array (ULA). An SCA interleaves three ULAs (Subarray 1, Subarray 2, and Subarray 3). Each SCA has two underlying coprime integers (M and N).
openaire   +1 more source

DOA estimation based on an interpolated coprime array structure

Signal Processing
Xuebo Zhang, Haixin Sun, Shaohua Hong
exaly   +2 more sources

Universal Hole-Filling Strategies for Coprime Arrays

IEEE Transactions on Signal Processing
Coprime arrays (CAs) are found to be captivating for striking a balance among the increased number of degrees of freedom (DOFs), reduced mutual coupling and applicable aperture. However, holes in the difference co-array (DCA) reduce the achievable number of DOFs, and further restrict the complete utilization of the aperture.
Xiang Li 0034, Ming Jin 0004, Xiang-Tian Meng, Bing-Xia Cao, Feng-Gang Yan, Maria Greco 0001, Fulvio Gini   +6 more
openaire   +2 more sources

Coprime arrays in the context of compressive sensing

The Journal of the Acoustical Society of America, 2013
Arising naturally from the formalism of coarrays, coprime arrays offer a means of achieving sparsity along an array while maintaining certain measures of performance. This configuration offers benefits over traditional configurations for large aperture towed arrays in the ocean environment, but shallow water propagation complicates the wide sense ...
Andrew T. Pyzdek, R. Lee Culver
openaire   +1 more source

Investigations on n-tuple coprime arrays

The Journal of the Acoustical Society of America, 2018
Coprime arrays so far combine two sparsely-spaced subarrays, undersampled by factors of M and N, in order to achieve MN degrees of freedom. To ensure that the grating lobes of each subarray can be largely eliminated, M and N must be coprime. In number theory, sets of pairwise coprime numbers can exceed just two numbers.
Dane R. Bush, Ning Xiang
openaire   +1 more source

Detection performance of coprime sensor arrays

The Journal of the Acoustical Society of America, 2013
Coprime sensor arrays (CSAs) achieve the resolution of a fully populated uniform linear array (ULA) with the same aperture using fewer sensors. The CSA's reduced number of sensors diminishes its ability to attenuate white noise, and consequently also reduces its array gain. Assuming narrowband independent signal and white noise, when the signal and the
Kaushallya Adhikari, John R. Buck
openaire   +1 more source

Deconvolved Conventional Beamforming for a Coprime Array

OCEANS 2019 - Marseille, 2019
Coprime Sensor Array (CSA) has received a lot of attentions recently due to "coprime" nature of the array configuration, which yields a high resolution using product processing with fewer sensors, similar to that of a uniform liner array (ULA) of a larger aperture using conventional beamforming (CBF), with more sensors. Compared with the ULA, CSA yield
Zhengzheng Ye, T.C. Yang
openaire   +1 more source

The Mean-Squared-Error of autocorrelation sampling in coprime arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
Standard direction-of-arrival estimation using coprime arrays samples the entries of the estimated physical-array autocorrelation matrix, organizes them in a matrix structure, and conducts multiple-signal classification (MUSIC) with singular vectors of the resulting matrix.
Dimitris G. Chachlakis, Panos P. Markopoulos, Fauzia Ahmad   +2 more
openaire   +1 more source