Results 241 to 250 of about 56,300 (290)

A parallel magnetic tunnel junction-based probabilistic Ising processor for efficient quadratic optimization. [PDF]

Nat Commun
Yang S, Bao Y, Humianto E, Prabhakar A, Yang H.   +4 more
europepmc   +1 more source

SFT-based DOA detection on co-prime array [PDF]

, 2015
In the thesis, we propose a direction of arrival (DOA) estimation method with co-prime sensor arrays based on the Sparse Fourier Transform (SFT). A co-prime array is composed of two uniform linear arrays (ULAs) whose inter-sensor spacings are (M*lambda) /2 and (N*lambda )/2, respectively,where M and N are co-prime integers and the represents the signal
openaire   +2 more sources

Enhanced DOA Estimation With Co-Prime Array in the Scenario of Impulsive Noise: A Pseudo Snapshot Augmentation Perspective [PDF]

IEEE Transactions on Vehicular Technology, 2023
International audienceCo-prime array configuration is popular in therecent development of array signal processing. However, theassumption of Gaussian noise in most co-prime array process-ing research leads to model mismatch in practical scenariosof ...
Jingjing Pan, Xudong Dong, Yide Wang
exaly   +2 more sources

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DOA Estimation for Coherent and Incoherent Sources Based on Co-prime Array

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2019
In this paper, a DOA estimation method based on co-prime array is proposed to resolve the coherent and incoherent hybrid sources. Firstly, with respect to the difference co-array of co-prime array, the desired units with corresponding contiguous intervals in the correlation matrix are extracted and rearranged into an augmented correlation matrix.
Yong Jia, Bin Duo, Xiaoling Zhong
exaly   +2 more sources

Exploiting array motion for augmentation of co-prime arrays

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014
In this paper, we combine concepts from synthetic aperture processing and non-uniform linear array theory. Our objective is to use array motion to synthesize an array that can achieve the performance of a filled uniform linear array (ULA), but with fewer sensors than required for spatial Nyquist sampling.
Juan Ramirez Jr., Jonathan L. Odom, Jeffrey L. Krolik   +2 more
openaire   +1 more source

Sparse Sensing With Co-Prime Samplers and Arrays

IEEE Transactions on Signal Processing, 2011
This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers. Several properties and applications of co-prime samplers are developed. First, for uniform spatial sampling with M and N sensors where M and N are co-prime with appropriate interelement spacings, the difference co-array
Vaidyanathan, Palghat P., Pal, Piya
openaire   +2 more sources

Special issue on Co-prime sampling and arrays

Digital Signal Processing, 2015
Co-prime sampling and co-prime arrays have recently been shown to improve active and passive sensing in radar and under-water acoustics using both narrowband and wideband signal plat-forms. Co-prime processing provides a systematical framework for sparse sampling and array configuration with increased aperture and improved spatial resolution.
Amin, Moeness G., Vaidyanathan, P. P., Zhang, Yimin D., Pal, Piya   +3 more
openaire   +2 more sources