Results 31 to 40 of about 311 (170)
IEEE Access, 2019 Linear sparse arrays (coprime and nested arrays) have been studied extensively as a means of performing direction of arrival (DoA) estimation while bypassing Nyquist sampling theorem. However, rectangular sparse arrays have few studies, most of which are
Kaushallya Adhikari, Benjamin Drozdenko
doaj +1 more source
Design and Statistical Analysis of Tapered Coprime and Nested Arrays for the Min Processor
IEEE Access, 2019 Coprime and nested arrays are sparse sensor arrays that provide O(MN) degrees of freedom using only O(MN) sensors. The signals sampled by these sparse arrays contain the aliasing artifact; the min processor is used to disambiguate this aliasing artifact.
Kaushallya Adhikari, Benjamin Drozdenko
doaj +1 more source
A Transformed Coprime Array With Reduced Mutual Coupling for DOA Estimation of Non-Circular Signals
IEEE Access, 2021 Recently, the design of sparse linear array for direction of arrival (DOA) estimation of non-circular (NC) signals has attracted great attention because the difference and sum co-array offered by non-circularity increases the aperture of virtual linear ...
Fengtong Mei +4 more
doaj +1 more source
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
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
Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures [PDF]
Sensors, 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, Bing, Wu, Chenxi, Ruan, Huailin
openaire +3 more sources
Journal of Marine Science and EngineeringThe coprime array, proposed in recent years as a special type of sparse array, combines the advantages of sparse sensing with the unique properties of prime numbers, enabling a larger array aperture and higher degrees of freedom with the same number of ...
Xiao Chen +3 more
doaj +1 more source
Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018 Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost.
Xiaoye Wang +4 more
doaj +1 more source
Enhance Degrees of Freedom for Coprime Array Using OptSpace Algorithm
IEEE Access, 2019 Coprime arrays, consisting of two subarrays with a co-prime number of physical sensors, can effectively resolve the direction-of-arrival (DOA) estimation when the number of sources exceeds the sensors. However, the conventional coprime array direction of
Qianpeng Xie, Xiaoyi Pan, Shunping Xiao
doaj +1 more source
Comparative Analysis of SVM and CNN for Sonar Signal Classification Using Sparse Arrays
IEEE AccessCoprime and nested sparse arrays are two widely researched sparse arrays. These arrays, requiring fewer sensors compared to full uniform linear arrays (ULAs), still have a high number of degrees of freedom.
Showrov Rahman, Kaushallya Adhikari
doaj +1 more source