A low side-lobe array weighted optimization method in sky-wave radar

2013 ◽  
Author(s):  
Zixi Wang ◽  
Zishu He ◽  
Jinfeng Hu ◽  
Julan Xie
Keyword(s):  
Optimization Method ◽  
Side Lobe ◽  
Wave Radar ◽  
Weighted Optimization

Synthesis of thinned planar antenna arrays using teaching–learning-based optimization

2014 ◽  
Vol 7 (5) ◽  
pp. 557-563 ◽  
Author(s):  
Nihad I. Dib
Keyword(s):  
Antenna Arrays ◽  
Optimization Problems ◽  
Optimization Method ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Planar Antenna ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Level Reduction ◽  
Better Than

In this paper, the design of thinned planar antenna arrays of isotropic radiators with optimum side lobe level reduction is studied. The teaching–learning-based optimization (TLBO) method, a newly proposed global evolutionary optimization method, is used to determine an optimum set of turned-ON elements of thinned planar antenna arrays that provides a radiation pattern with optimum side lobe level reduction. The TLBO represents a new algorithm for optimization problems in antenna arrays design. It is shown that the TLBO provides results that are better than (or the same as) those obtained using other evolutionary algorithms.

scholarly journals Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jingcheng Zhao ◽  
Xinru Fu ◽  
Zongkai Yang ◽  
Fengtong Xu
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Optimization Method ◽  
The Internet ◽  
Detection Zone ◽  
Detection And Identification ◽  
Wave Radar ◽  
Positioning Method ◽  
Electromagnetic Signals ◽  
The Internet Of Things

Unmanned aerial vehicles (UAVs) have broad application potential for the Internet of Things (IoT) due to their small size, low cost, and flexible control. At present, the main positioning method for UAVs is the use of GPS. However, GPS positioning may be affected by stronger electromagnetic signals from spoofing attacks. In this study, a radar-assisted positioning method based on 5G millimeter waves is proposed. In 5G end-to-end network slices, the rotors of UAVs can be detected and identified by deploying 5G millimeter wave radar. High-resolution range profile (HRRP) is used to obtain the UAV location in the detection zone. Micro-Doppler characteristics are used to identify the UAVs and the cepstrum method is used to extract the number and speed information of the UAV rotor. The sinusoidal frequency modulation (SFM) parameter optimization method is used to separate multiple UAVs. The proposed method provides information on the number of UAVs, the position of the UAV, the number of rotors, and the rotation speed of each rotor. The simulation results show that the proposed radar detection method is well suited for UAV detection and identification and provides a valid GPS-independent method for UAV tracking.

scholarly journals Study the Effect of Using Low-Cost Dielectric Lenses with Printed Log-Periodic Dipole Antennas for Millimeter-Wave Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Osama M. Haraz ◽  
Abdel Razik Sebak ◽  
Saleh Alshebeili
Keyword(s):  
Millimeter Wave ◽  
Low Cost ◽  
Side Lobe ◽  
Dipole Antenna ◽  
Impedance Bandwidth ◽  
60 Ghz ◽  
V Band ◽  
Wave Radar ◽  
Dielectric Lens ◽  
Peak Gain

Design of V-band high-gain printed log periodic dipole array (PLPDA) antenna loaded with a low-cost spherical dielectric lens is introduced. The proposed antenna consists of microstrip-line-fed log-periodic dipole antenna designed to operate in the V-band with a peak gain of 12.64 dBi at 60 GHz. To enhance the antenna gain, a dielectric lens is installed. The antenna prototype is fabricated and then tested experimentally using Agilent E8364B PNA Network Analyzer. Experimental results agree well with the simulated ones. The simulated results show that the proposed antenna can work from 42 GHz up to 82 GHz with a fractional impedance bandwidth of 64.5% covering the whole V-band (50–75 GHz). At 60 GHz, the proposed antenna has peak gain of 26.79 dBi with a gain variation of 3.5 dBi across the whole V-band with stable radiation patterns over the operating band. The proposed PLPDA antenna achieves good side-lobe suppression, excellent front-to-back ratio in bothE- andH-planes, and low cross-polarization levels over the entire frequency range. These unique features will make this antenna suitable for different interesting applications such as millimeter-wave radar and imaging applications.

scholarly journals Amplitude only Low Side-lobe Level Array Pattern Synthesis using Cauchy mutated Invasive Weed Optimization

2019 ◽  
Vol 9 (2) ◽  
pp. 784-788
Keyword(s):  
Antenna Arrays ◽  
Communication Systems ◽  
Systems Design ◽  
Optimization Method ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Antenna Element ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Crucial Component

Antenna arrays are prominently used in satellites, radars mobile and wireless communication systems. Design of an antenna array with minimum side projections is the crucial component for noise free communications. There are various nature inspired optimization method have been suggested to optimize the peak side projections. To overcome low solution accuracy and low convergence rate, we are using newly developed Cauchy mutated invasive and optimization (CMIWO) to minimize the peak side projection levels in the radiation pattern. CMIWO is adapted to reduce the amplitude of the each antenna element. We have used 24, 32, and 64 element linear array of antenna for the synthesis. Based on the results the CMIWO produces suggestive reduction in peak side projections when contrasted with other array of antennas

scholarly journals An ADS-Based Sparse Optimization Method for Sonar Imaging Sensor Arrays

2020 ◽  
Vol 10 (9) ◽  
pp. 3176
Author(s):  
Jiancheng Liu ◽  
Feng Shi ◽  
Yecheng Sun ◽  
Peng Li
Keyword(s):  
Sensor Array ◽  
Linear Array ◽  
Imaging System ◽  
Low Cost ◽  
Sensor Arrays ◽  
Optimization Method ◽  
Low Complexity ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Linear Arrays

The Mills Cross sonar sensor array, achieved by the virtual element technology, is one way to build a low-complexity and low-cost imaging system while not decreasing the imaging quality. This type of sensor array is widely investigated and applied in sensor imaging. However, the Mills Cross array still holds some redundancy in sensor spatial sampling, and it means that this sensor array may be further thinned. For this reason, the Almost Different Sets (ADS) method is proposed to further thin the Mills Cross array. First, the original Mills Cross array is divided into several transversal linear arrays and one longitudinal linear array. Secondly, the Peak Side Lobe Level (PSLL) of each virtual linear array is estimated in advance. After the ADS parameters are matched according to the thinned ratio of the expectant array, all linear arrays are thinned in order. In the end, the element locations in the thinned linear array are used to determine which elements are kept or discarded from the original Mills array. Simulations demonstrate that the ADS method can be used to thin the Mills array and to further decrease the complexity of the imaging system while retaining beam performance.

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