Legendre polynomial method for linear array beam pattern synthesis

2017 ◽  
Vol 142 (4) ◽  
pp. 2487-2487
Author(s):  
Dehua Huang
Keyword(s):  
Legendre Polynomial ◽  
Linear Array ◽  
Beam Pattern ◽  
Polynomial Method ◽  
Pattern Synthesis

scholarly journals A Low Complexity 2D Pattern Synthesis Algorithm for Cylindrical Array

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Chao Liu ◽  
Zhizhong Ding ◽  
Xiaoping Liu
Keyword(s):  
Linear Array ◽  
Geometric Characteristic ◽  
Weight Vector ◽  
Low Complexity ◽  
Beam Pattern ◽  
Pattern Synthesis ◽  
Synthesis Algorithm ◽  
2D Pattern ◽  
Simulation Results ◽  
Cylindrical Array

This paper proposes a 2D pattern synthesis algorithm for cylindrical array. According to the geometric characteristic of cylinder, we can regard a cylindrical array as an equivalent linear array whose elements are identical circular subarrays. Therefore, the beam pattern can be obtained by the product of the array factor of linear array and beam pattern of circular subarray. Then, the 2D beamforming can be realized by two 1D beamforming processes. We can prove that the complex excitation vector of a cylindrical array is the Kronecker product of linear array’s weight vector and circular array’s weight vector. By this algorithm of decomposition and reconstruction, the computational complexity of 2D beamforming could be significantly reduced. Finally, simulation results further illustrate the validity of the proposed method.

A hybrid neural network goal attain optimization for failed sensor(s) radiation pattern in linear array

2019 ◽  
Vol 4 (4) ◽  
pp. 101-109
Author(s):  
Navaamsini Boopalan ◽  
Agileswari K. Ramasamy ◽  
Farrukh Hafiz Nagi
Keyword(s):  
Neural Network ◽  
Radiation Pattern ◽  
Array Signal Processing ◽  
Linear Array ◽  
Signal To Noise Ratio ◽  
Beam Pattern ◽  
Sensor Failure ◽  
Signal To Noise ◽  
Hybrid Neural Network ◽  
Noise Ratio

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)

Low-Sidelobe Shaped-Beam Pattern Synthesis With Amplitude Constraints

2021 ◽  
pp. 1-1
Author(s):  
Zhipeng Lin ◽  
Haoquan Hu ◽  
Shiwen Lei ◽  
Ruiming Li ◽  
Jing Tian ◽  
...  
Keyword(s):  
Beam Pattern ◽  
Pattern Synthesis ◽  
Shaped Beam ◽  
Low Sidelobe

Fast Pencil Beam Pattern Synthesis of Large Unequally Spaced Antenna Arrays

2013 ◽  
Vol 61 (2) ◽  
pp. 627-634 ◽  
Author(s):  
Kai Yang ◽  
Zhiqin Zhao ◽  
Qing Huo Liu
Keyword(s):  
Antenna Arrays ◽  
Beam Pattern ◽  
Pencil Beam ◽  
Pattern Synthesis ◽  
Unequally Spaced
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