A new method of modeling linear dipole antennas for UWB applications

2005 ◽  
Author(s):  
Shen Jie ◽  
Wang Jong ◽  
Zhu Xuesheng
Keyword(s):  
New Method ◽  
Dipole Antennas ◽  
Uwb Applications ◽  
Linear Dipole

Transient response of coupled linear dipole antennas

1984 ◽  
Vol 32 (2) ◽  
pp. 133-140 ◽  
Author(s):  
M. Sato ◽  
M. Iguchi ◽  
R. Sato
Keyword(s):  
Transient Response ◽  
Dipole Antennas ◽  
Linear Dipole

scholarly journals Algorithm for the Fewest Arms Required by Multi-Band Linear Dipole Antenna

2021 ◽  
Author(s):  
Bing Xiao
Keyword(s):  
Dipole Antenna ◽  
Mode Analysis ◽  
Dipole Antennas ◽  
Characteristic Mode ◽  
Antenna Structure ◽  
Band Characteristic ◽  
Iot Devices ◽  
Linear Dipole ◽  
The Internet Of Things ◽  
Multi Band

Small linear dipole antennas with a multi-band characteristic are necessary for many strip or bar shaped gateway devices of the Internet of Things (IoT), for the connectivity in various communication protocols. However, the conventional methodology of designing multi-band dipole antennas is generally empirically based. More frequency bands usually mean even more arms/slots, which results in an increasingly bulky antenna. In this paper, we will introduce an algorithm of using the fewest arms to design a multi-band linear dipole antenna. This algorithm is based on sharing arms after the effective ranges of mode excitation are determined by characteristic mode analysis (CMA). By this algorithm, an exemplified designed penta-band dipole antenna is effective in covering 433, 868, 1176, 1575, and 2450 MHz bands for LPWAN, GNSS, and ISM applications, with only 2.5 pairs of arms. 50% of arms are reduced in comparison to traditional methods. This algorithm is convenient in practical dipole antenna design, and greatly simplifies the antenna structure so that they could be mounted into small IoT devices.

scholarly journals Algorithm for the Fewest Arms Required by Multi-Band Linear Dipole Antenna

2021 ◽  
Author(s):  
Bing Xiao
Keyword(s):  
Dipole Antenna ◽  
Mode Analysis ◽  
Dipole Antennas ◽  
Characteristic Mode ◽  
Antenna Structure ◽  
Band Characteristic ◽  
Iot Devices ◽  
Linear Dipole ◽  
The Internet Of Things ◽  
Multi Band

Small linear dipole antennas with a multi-band characteristic are necessary for many strip or bar shaped gateway devices of the Internet of Things (IoT), for the connectivity in various communication protocols. However, the conventional methodology of designing multi-band dipole antennas is generally empirically based. More frequency bands usually mean even more arms/slots, which results in an increasingly bulky antenna. In this paper, we will introduce an algorithm of using the fewest arms to design a multi-band linear dipole antenna. This algorithm is based on sharing arms after the effective ranges of mode excitation are determined by characteristic mode analysis (CMA). By this algorithm, an exemplified designed penta-band dipole antenna is effective in covering 433, 868, 1176, 1575, and 2450 MHz bands for LPWAN, GNSS, and ISM applications, with only 2.5 pairs of arms. 50% of arms are reduced in comparison to traditional methods. This algorithm is convenient in practical dipole antenna design, and greatly simplifies the antenna structure so that they could be mounted into small IoT devices.

Selective Sampling and Orientation of Non-Homogeneous Tissues

1968 ◽  
Vol 26 ◽  
pp. 98-99
Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Light Microscopy ◽  
Random Sampling ◽  
New Method ◽  
Microscope Examination ◽  
Small Areas ◽  
Selective Sampling ◽  
Large Numbers ◽  
Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

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