scholarly journals Synthesis of sparse linear arrays using reweighted gridless compressed sensing

2021 ◽  
Author(s):  
Zihao Li ◽  
JuanJuan Cai ◽  
Chengpeng Hao
Keyword(s):  
Compressed Sensing ◽  
Linear Arrays

scholarly journals Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique

2017 ◽  
Vol 7 (2) ◽  
pp. 961 ◽  
Author(s):  
Shafqat Ullah Khan ◽  
M. K. A. Rahim ◽  
I. M. Qureshi ◽  
N. A. Murad
Keyword(s):  
Compressed Sensing ◽  
Differential Evolution ◽  
Field Pattern ◽  
Linear Measurements ◽  
Linear Arrays ◽  
Power Pattern ◽  
Simulation Results ◽  
The Difference ◽  
Precise Simulation ◽  
Faulty Sensors

<span lang="EN-US">In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the  minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements.</span>

Joint DOA and Frequency Estimation for Linear Array with Compressed Sensing PARAFAC Framework

2017 ◽  
Vol 26 (09) ◽  
pp. 1750136 ◽  
Author(s):  
Shu Li ◽  
Zezhou Sun ◽  
Xiaofei Zhang ◽  
Weiyang Chen ◽  
Dazhuan Xu
Keyword(s):  
Compressed Sensing ◽  
Frequency Estimation ◽  
Estimation Algorithm ◽  
Linear Arrays ◽  
Propagator Method ◽  
Joint Direction ◽  
Parallel Factor ◽  
Esprit Algorithm ◽  
Spatial Sparsity ◽  
Better Than

In this paper, a joint direction of arrival (DOA) and frequency estimation algorithm of narrow-band signals is proposed via compressed sensing (CS) parallel factor (PARAFAC) framework. The proposed algorithm constructs the data model into a PARAFAC model, and compresses it to a smaller one. Then trilinear alternating least-squares (TALS) algorithm is exploited to estimate the compressed parameter matrices, and finally the joint DOA and frequency estimation is obtained via the spatial sparsity and the frequency sparsity. Due to compression, the proposed algorithm has lower computational complexity than the conventional PARAFAC algorithm, and saves more memory capacity for practical application. The DOA and frequency estimation performance of the proposed algorithm is very close to that of the conventional PARAFAC algorithm, and better than those of the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm and the propagator method (PM). Furthermore, the proposed algorithm can achieve automatically paired DOA and frequency estimation. Besides, it is applicable for nonuniform linear arrays. Effectiveness of the proposed algorithm is assessed by simulations.

Synthesis of Minimally Subarrayed Linear Arrays via Compressed Sensing Method

2019 ◽  
Vol 18 (3) ◽  
pp. 487-491 ◽  
Author(s):  
Xiaowen Zhao ◽  
Qingshan Yang ◽  
Yunhua Zhang
Keyword(s):  
Compressed Sensing ◽  
Linear Arrays

Linear Arrays of Helical Polyribosomes in Cells Exposed to Antitumor Drug Vincristine Sulfate

1969 ◽  
Vol 27 ◽  
pp. 358-359
Author(s):  
Awtar Krishan
Keyword(s):  
Close Association ◽  
Annulate Lamellae ◽  
Large Array ◽  
Vincristine Sulfate ◽  
Linear Arrays ◽  
Golgi Membranes ◽  
Related Drug ◽  
Drug Leads ◽  
Lethal Doses ◽  
Vinblastine Sulfate

Earle's L-929 fibroblasts treated with mitosis-arresting but sub-lethal doses of vinblastine sulfate (VLB) show hypertrophy of the granular endoplasmic reticulum and annulate lamellae. Exposure of the cells to heavier doses of vincristine sulfate (VCR), a VLB-related drug, leads to the accumulation of large amounts of helical polyribosomes, Golgi membranes and crystals in the cytoplasm. In many of these cells a large number of helical polyribosomes are arranged in prominent linear rows, some of which may be up to 5 micrometers in length. Figure 1 shows a large array of helical polyribosomes near a crystalline mass (CRS) in an Earle's L-929 fibroblast exposed to VCR (5ϒ/ml.) for 3 hours At a higher magnification, as seen in figure 2, the helical polyribosomes are seen arranged in parallel rows. In favorably cut sections, a prominent backbone like "stalk" of finely granular material, measuring approximately 300Å in width is seen in close association with the linear rows of helical polyribosomes.

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