nested arrays
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MRS Bulletin ◽  
2022 ◽  
Author(s):  
Odelia Sibony-Nevo ◽  
Katya Rechav ◽  
Viviana Farstey ◽  
Eyal Shimoni ◽  
Neta Varsano ◽  
...  

Author(s):  
Konstantin Nikolaevich Mitrofanov ◽  
Vladimir Vasil'evich Aleksandrov ◽  
Aleksadr Viktorovich Branitski ◽  
Evgenii Valentinivich Grabovskiy ◽  
Arkadii Gritsuk ◽  
...  

Abstract The results of experiments on the study of plasma compression of nested wire arrays of mixed composition and the generation of powerful pulses of soft X-ray radiation (SXR), carried out on a powerful electrophysical facility Angara-5-1 at a current level of up to 3 MA, are presented. Based on the latest experimental data on the intensity of plasma formation of various substances m& (in μg/(cm2×ns)) [1] and on the features of the dynamics of plasma compression in nested arrays [2], a nested wire array design has been developed which makes it possible to obtain a high peak SXR power in comparison with the known designs of single and nested tungsten wire arrays. During the implosion of nested arrays of mixed composition, consisting of plastic fibers and tungsten wires, shorter and more powerful SXR pulses were obtained with a maximum peak power PSXRmax~10 TW with a FWHM duration of ~5 ns compared to the parameters of SXR pulses upon compression of single tungsten arrays: PSXRmax~5 TW and FWHM~10 ns. Thus, under the conditions of our experiments, we have shown the possibility of a twofold increase in the peak SXR power during compression of nested arrays by optimizing their design.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hongyong Wang ◽  
Weibo Deng ◽  
Ying Suo ◽  
Xin Zhang ◽  
Yanmo Hu ◽  
...  

In array, mutual coupling between the antennas is inevitable, which has an adverse effect on the estimation of parameters. To reduce the mutual coupling between the antennas of distributed nested arrays, this paper proposes a new array called the distributed super nested arrays, which have the good characteristics of the distributed nested arrays and can reduce the mutual coupling between the antennas. Then, an improved multiscale estimating signal parameter via rotational invariance techniques (ESPRIT) algorithm is presented for the distributed super nested arrays to improve the accuracy of direction-of-arrival (DOA) estimation. Next, we analyze the limitations of the spatial smoothing algorithm used by the distributed super nested arrays when there are multiple-source signals and the influence of the baseline length of distributed super nested arrays on the accuracy of DOA estimation. The simulation results show that the distributed super nested arrays can effectively reduce the mutual coupling between the array antennas, improve the DOA estimation performance, and significantly increase the number of detectable source signals.


2021 ◽  
Vol 47 (10) ◽  
pp. 967-995
Author(s):  
K. N. Mitrofanov ◽  
V. V. Aleksandrov ◽  
A. V. Branitskii ◽  
E. V. Grabovsky ◽  
A. N. Gritsuk ◽  
...  

2021 ◽  
Author(s):  
Ashish Patwari

Linear sparse antenna arrays have been widely studied in array processing literature. They belong to the general class of non-uniform linear arrays (NULAs). Sparse arrays need fewer sensor elements than uniform linear arrays (ULAs) to realize a given aperture. Alternately, for a given number of sensors, sparse arrays provide larger apertures and higher degrees of freedom than full arrays (ability to detect more source signals through direction-of-arrival (DOA) estimation). Another advantage of sparse arrays is that they are less affected by mutual coupling compared to ULAs. Different types of linear sparse arrays have been studied in the past. While minimum redundancy arrays (MRAs) and minimum hole arrays (MHAs) existed for more than five decades, other sparse arrays such as nested arrays, co-prime arrays and super-nested arrays have been introduced in the past decade. Subsequent to the introduction of co-prime and nested arrays in the past decade, many modifications, improvements and alternate sensor array configurations have been presented in the literature in the past five years (2015–2020). The use of sparse arrays in future communication systems is promising as they operate with little or no degradation in performance compared to ULAs. In this chapter, various linear sparse arrays have been compared with respect to parameters such as the aperture provided for a given number of sensors, ability to provide large hole-free co-arrays, higher degrees of freedom (DOFs), sharp angular resolutions and susceptibility to mutual coupling. The chapter concludes with a few recommendations and possible future research directions.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yang Qian ◽  
Dalin Zhao ◽  
Haowei Zeng

Direct position determination (DPD) of noncircular (NC) sources with multiple nested arrays (NA) is investigated in this paper. Noncircular sources are used to expand the dimension of the received signal matrix, so the number of identifiable information sources and the accuracy of direct position determination are improved. Furthermore, nested array increases spatial degree of freedom. In this paper, the high-dimensional search problem of noncircular sources is investigated. Therefore, we propose algorithm dimension reduction subspace data fusion (RD-SDF) to reduce complexity and increase positioning accuracy. Simulation results show that the proposed RD-SDF algorithm for multiple nested arrays with noncircular sources has improved positioning accuracy with higher spatial degree of freedom than SDF, Capon, and two-step algorithms with uniform linear array and circular sources (CS).


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