RF emitter localization and beam pattern auto-calibration using amplitude comparison of a two-element array

Author(s):  
Yuanbo Xiong ◽  
Boon Poh Ng ◽  
Rong Yang
PIERS Online ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 267-270 ◽  
Author(s):  
Saeed Fathololoumi ◽  
Dayan Ban ◽  
Hui Luo ◽  
Peter Grant ◽  
Sylvain R. Laframboise ◽  
...  

Author(s):  
Navaamsini Boopalan ◽  
Agileswari K. Ramasamy ◽  
Farrukh Hafiz Nagi

Array sensors are widely used in various fields such as radar, wireless communications, autonomous vehicle applications, medical imaging, and astronomical observations fault diagnosis. Array signal processing is accomplished with a beam pattern which is produced by the signal's amplitude and phase at each element of array. The beam pattern can get rigorously distorted in case of failure of array element and effect its Signal to Noise Ratio (SNR) badly. This paper proposes on a Hybrid Neural Network layer weight Goal Attain Optimization (HNNGAO) method to generate a recovery beam pattern which closely resembles the original beam pattern with remaining elements in the array. The proposed HNNGAO method is compared with classic synthesize beam pattern goal attain method and failed beam pattern generated in MATLAB environment. The results obtained proves that the proposed HNNGAO method gives better SNR ratio with remaining working element in linear array compared to classic goal attain method alone. Keywords: Backpropagation; Feed-forward neural network; Goal attain; Neural networks; Radiation pattern; Sensor arrays; Sensor failure; Signal-to-Noise Ratio (SNR)


1985 ◽  
Author(s):  
H. E. King ◽  
Jimmy L. Wong ◽  
Thomas M. Plummer ◽  
William C. Wysock
Keyword(s):  

1970 ◽  
Vol 49 (9) ◽  
pp. 2077-2094 ◽  
Author(s):  
W. Samaroo ◽  
J. Raamot ◽  
P. Parry ◽  
G. Robertson

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3614
Author(s):  
Arun Kesavan ◽  
Mu’ath Al-Hassan ◽  
Ismail Ben Mabrouk ◽  
Tayeb A. Denidni

A novel circular polarized dielectric antenna array (DRA) for millimeter-wave applications at 30 GHz is presented in this paper. The unit element array is a flower-shaped DRA fed with a cross slot. To obtain circular polarization, a sequential network combined with the cross slots is used to feed the 2×2 array. The prototype of the proposed antenna array is fabricated and measured to obtain a wide resonance bandwidth from 27 GHz to 38 GHz frequency band. Furthermore, this left-hand polarized antenna array has achieved a peak gain of 9.5 dBi with 3-dB axial ratio at 30 GHz. The proposed DRA array with wideband resonance and gain bandwidth has the potential to be used for millimeter-wave wireless communications at the 30 GHz band.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 39792-39797
Author(s):  
Abdul Aziz ◽  
Fan Yang ◽  
Shenheng Xu ◽  
Maokun Li

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 667
Author(s):  
Raza Ullah ◽  
Sadiq Ullah ◽  
Farooq Faisal ◽  
Rizwan Ullah ◽  
Dong-you Choi ◽  
...  

In this paper, antipodal Vivaldi antenna is designed for 5th generation (5G) mobile communication and Ku-band applications. The proposed designed has three layers. The upper layer consists of eight-element array of split-shaped leaf structures, which is fed by a 1-to-8 power divider network. Middle layer is a substrate made of Rogers 5880. The bottom layer consists of truncated ground and shorter mirror-image split leaf structures. The overall size of the designed antenna is confined significantly to 33.31 × 54.96 × 0.787 (volume in mm3), which is equivalent to 2λo× 3.3λo× 0.05λo (λo is free-space wavelength at 18 GHz). Proposed eight elements antenna is multi-band in nature covering Ku-bands (14.44–20.98 GHz), two millimeter wave (mmW) bands i.e., 24.34–29 GHz and 33–40 GHz, which are candidate frequency bands for 5G communications. The Ku-Band is suitable for radar applications. Proposed eight elements antenna is very efficient and has stable gain for 5G mobile communication and Ku-band applications. The simulation results are experimentally validated by testing the fabricated prototypes of the proposed design.


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