Radiation pattern distortion caused by the inter-element coupling via the backing and the matching layers in linear array transducers

Author(s):  
N. Lamberti ◽  
P. Gori ◽  
G. Caliano ◽  
A. Iula ◽  
R. Carotenuto
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)


2020 ◽  
Vol 19 (3) ◽  
pp. 408-412
Author(s):  
Cristina Yepes ◽  
Erio Gandini ◽  
Stefania Monni ◽  
Andrea Neto ◽  
Frank E. van Vliet ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sarayoot Todnatee ◽  
Chuwong Phongcharoenpanich

This research has proposed the iterative genetic algorithm (GA) optimization scheme to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. The aim of the iterative optimization is to achieve a radiation pattern with a side lobe level (SLL) of ≤−20 dB. In the optimization, the proposed scheme iteratively optimizes the array range (spacing) and the number of array elements, whereby the array element with the lowest absolute complex weight coefficient is first removed and then the second lowest and so on. The removal (the element reduction) is terminated once the SLL is greater than −20 dB (>−20 dB) and the elemental increment mechanism is triggered. The results indicate that the proposed iterative GA optimization scheme is applicable to the nonuniform linear array antenna and also is capable of synthesizing the radiation pattern with SLL ≤ −20 dB.


2010 ◽  
Vol 01 (01) ◽  
pp. 23-31 ◽  
Author(s):  
Sudipta Das ◽  
◽  
Somen Bhattacharjee ◽  
Durbadal Mandal ◽  
◽  
...  

2011 ◽  
Vol 3 (6) ◽  
pp. 609-614 ◽  
Author(s):  
Ahmad El Sayed Ahmad ◽  
Marc Thevenot ◽  
Cyrille Menudier ◽  
Majed Koubeissi ◽  
Eric Arnaud ◽  
...  

This paper describes the design of a 12-monopole linear array to perform a radiation pattern in the array alignment plane. This antenna can be used for HyperLAN2 telecommunications in transit vehicles. The design is based on a rigorous method which synthesizes the feeds weights by considering the strong cumulative coupling between monopoles. The originality of this paper consists in considering the couplings to obtain the objective pattern. Without this approach, a significant performance alteration is observed. The array and the feed network have been designed and successfully measured.


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