Results 11 to 20 of about 1,984 (170)

Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm [PDF]

Sensors
This paper proposes a novel sparse array design and an efficient algorithm for two-dimensional direction-of-arrival (2D-DOA) estimation. By analyzing the hole distribution in coprime arrays and introducing supplementary elements, we design a ...
Yunhe Shi, Xiaofei Zhang, Shengxinlai Han   +2 more
doaj   +2 more sources

Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures. [PDF]

Sensors (Basel), 2020
A coprime array of N sensors can achieve O ( N 2 ) degrees of freedom (DOFs) by possessing a uniform linear array segment of size O ( N 2 ) in the difference coarray. However, the structure of difference coarray is sensitive to sensor failures.
Sun B, Wu C, Ruan H.
europepmc   +5 more sources

An Underwater Velocity-Independent DOA Estimation Based on Improved Toeplitz Matrix Reconstruction [PDF]

Sensors
Conventional acoustic velocity-independent direction of arrival (DOA) estimation models have limited measurement ranges and low degrees of freedom.
Xuejin Zhao, Zihan Lei, Yu Wang, Gengxin Ning   +3 more
doaj   +2 more sources

Computationally Efficient Direction-of-Arrival Estimation Algorithms for a Cubic Coprime Array [PDF]

Sensors, 2021
In this paper, we investigate the problem of direction-of-arrival (DOA) estimation for massive multi-input multi-output (MIMO) radar, and propose a total array-based multiple signals classification (TA-MUSIC) algorithm for two-dimensional direction-of ...
Pan Gong, Xixin Chen
doaj   +2 more sources

Structured autocorrelation matrix estimation for coprime arrays [PDF]

Signal Processing, 2021
A coprime array receiver processes a collection of received-signal snapshots to estimate the autocorrelation matrix of a larger (virtual) uniform linear array, known as coarray. By the received-signal model, this matrix has to be (i) Positive-Definite, (ii) Hermitian, (iii) Toeplitz, and (iv) its noise-subspace eigenvalues have to be equal.
Dimitris G. Chachlakis, Panos P. Markopoulos   +1 more
openaire   +2 more sources

Array gain of coprime arrays [PDF]

The Journal of the Acoustical Society of America, 2019
A coprime array of M + N − 1 elements is designed, using product processing (PP), to yield the same beam width as that of a full array of MN elements using conventional beamforming (CBF), while at the same time suppressing the grating lobes. The array gain (AG) for isotropic noise using conventional PP is slightly less than that obtained using CBF ...
T C, Yang, Zhengzheng, Ye
openaire   +2 more sources

Generalized coprime array configurations [PDF]

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014
A coprime array consists of two uniform linear subarrays that construct an effective difference co-array with certain desirable characteristics. In this paper, we propose a generalized coprime array concept through the compression of the interelement spacing of one constituting subarray.
Si Qin, Yimin D. Zhang, Moeness G. Amin
openaire   +1 more source

Blind signal separation for coprime planar arrays: An improved coupled trilinear decomposition method

ETRI Journal, 2023
In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical ...
Zhongyuan Que, Xiaofei Zhang, Benzhou Jin   +2 more
doaj   +1 more source

n-tuple coprime sensor arrays [PDF]

The Journal of the Acoustical Society of America, 2017
Until now, coprime sensor arrays have used two sparsely spaced subarrays to emulate the performance of a single uniform array with many more sensors (generally on the order of the product of each subarrays' number of sensors). This allows for similar results with fewer sensors, or the observation of higher frequencies (above the Nyquist limit) with a ...
Dane, Bush, Ning, Xiang
openaire   +2 more sources

3D Coprime Arrays in Sparse Sensing [PDF]

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Coprime arrays are a class of sensor arrays that play a crucial role in various signal processing tasks because of their desirable properties such as sparsity and increased degrees of freedom (DOF) of coarrays. In this contribution, a new class of three-dimensional (3D) arrays is constructed from pure cubic fields.
Li, C, Gan, L, Ling, C
openaire   +2 more sources