Array Antenna TRM Failure Compensation Using Adaptively Weighted Beam Pattern Mask Based on Genetic Algorithm

2012 ◽  
Vol 11 ◽  
pp. 18-21 ◽  
Author(s):  
Jung-Hoon Han ◽  
Sang-Ho Lim ◽  
Noh-Hoon Myung
Keyword(s):  
Genetic Algorithm ◽  
Beam Pattern ◽  
Array Antenna ◽  
Pattern Mask

A modified cultural genetic algorithm and its applications to optimization of array antenna

2021 ◽  
Author(s):  
yuming lu ◽  
qi chen ◽  
Weiqing Miao ◽  
xiangfei zhang
Keyword(s):  
Genetic Algorithm ◽  
Array Antenna

scholarly journals Design and Optimization for 77 GHz Series-Fed Patch Array Antenna Based on Genetic Algorithm

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3066 ◽  
Author(s):  
Shuo Yang ◽  
Lijun Zhang ◽  
Jun Fu ◽  
Zhanqi Zheng ◽  
Xiaobin Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Array Antenna ◽  
Sidelobe Suppression ◽  
Automotive Radar ◽  
Sidelobe Level ◽  
Design And Optimization ◽  
Measurement Results ◽  
Antenna Length ◽  
Half Power ◽  
77 Ghz

This paper proposes a method for designing a 77 GHz series-fed patch array antenna. Based on the traditional genetic algorithm, the study explores different array topologies consisting of the same microstrip patches to optimize the design. The main optimization goal is to reduce the maximum sidelobe level (SLL). A 77 GHz series-fed patch array antenna for automotive radar was simulated, fabricated, and measured by employing this method. The antenna length was limited to no longer than 3 cm, and the array only had a single compact series with the radiation patch about 1.54 mm wide. In the genetic algorithm used for optimization, the maximum sidelobe level was set equal to or less than −14 dB. The measurement results show that the gain of the proposed antenna was about 15.6 dBi, E-plane half-power beamwidth was about ±3.8°, maximum sidelobe level was about −14.8 dB, and H-plane half-power beamwidth was about ±30° at 77 GHz. The electromagnetic simulation and the measurement results show that the 77 GHz antenna designed with the proposed method has a better sidelobe suppression by over 4 dB than the traditional one of the same length in this paper.

scholarly journals Beam forming in smart antenna with improved gain and suppressed interference using genetic algorithm

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
T. Ghouse Basha ◽  
M. Giri Prasad ◽  
P. Sridevi
Keyword(s):  
Genetic Algorithm ◽  
Phase Angle ◽  
Smart Antenna ◽  
Antenna System ◽  
Beam Pattern ◽  
Beam Forming ◽  
Signal Loss ◽  
Very High ◽  
Interference Phase ◽  
Smart Antenna System

AbstractThe most imperative process in smart antenna system is beam forming, which changes the beam pattern of an antenna for a particular angle. If the antenna does not change the position for the specified angle, then the signal loss will be very high. By considering the aforesaid drawback, here a new genetic algorithm based technique for beam forming in smart antenna system is proposed. In the proposed technique, if the angle is given as input, the maximum signal gain in the beam pattern of the antenna with corresponding position and phase angle is obtained as output. The length of the beam, interference, phase angle, and the number of patterns are the factors that are considered in our proposed technique. By using this technique, the gain of the system gets increased as well as the interference is reduced considerably. The implementation result exhibits the efficiency of the system in beam forming.

scholarly journals Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sarayoot Todnatee ◽  
Chuwong Phongcharoenpanich
Keyword(s):  
Genetic Algorithm ◽  
Radiation Pattern ◽  
Linear Array ◽  
Weight Coefficient ◽  
Side Lobe ◽  
Array Element ◽  
Array Antenna ◽  
Side Lobe Level ◽  
Optimization Scheme ◽  
Iterative Optimization

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.

scholarly journals Uniform Rectangular Array Synthesis and Optimization Using Modified Genetic Algorithm

2020 ◽  
Author(s):  
Mercy Sheeba J ◽  
S. Deepa
Keyword(s):  
Genetic Algorithm ◽  
Side Lobe ◽  
Beam Pattern ◽  
Side Lobe Level ◽  
Azimuthal Direction ◽  
Rectangular Array ◽  
Modified Genetic Algorithm ◽  
Simulation Results ◽  
Optimum Solution ◽  
Uniform Rectangular Array

This paper aims to synthesize a uniform rectangular array (URA) which spans beamwidth of -30∘ to 30∘ in the azimuthal direction with the interference direction as 40∘ in the azimuth plane. In this paper, a Modified Genetic Algorithm is proposed which works to produce a beam pattern with a narrow beamwidth, high directivity and maximized side lobe level (SLL) suppression. The simulation results for the proposed algorithm demonstrates that the synthesized beam pattern for a 16x16 URA at a frequency of 1 GHz converges to the desired optimum solution producing a maximum SLL suppression of -30dB.

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