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Design and Testing of Antennae for Automatic Target Recognition in UWD Radar

Design and Testing of Antennae for Automatic Target Recognition in UWD Radar

Kaustubh Bhattacharyya

39,33 €
IVA incluido
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Editorial:
Draft2Digital
Año de edición:
2023
Materia
Ingeniería de las comunicaciones/las telecomunicaciones
ISBN:
9798223045090
39,33 €
IVA incluido
Disponible

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The  means  of  sending  and  receiving  information  without  physical  interaction  has always  been  an  area  of  interest.   Communication  engineers  are  keen  to  improve  thequality  of  the  process  of  exchange  of  information  using  wireless  methods.   Antennas are the most vital part of a wireless network.  The reliability of information exchange through a wireless system much depends on the functionality of the antennas, both at the transmitter and receiver.  Thus, the design of a near-to-perfect antenna has always been an inevitable ambition of a communication engineer.  Design of microstrip anten- nas  and  slot  antennas  have  remained  a  globally  trending  area  of  research  for  several decades now.  Many novel approaches have evolved for designing microstrip antennas and slot antennas of different physical and electromagnetic properties at the microwave frequencies.  As the need for bandwidth is increasing over the years, researchers are ex- ploring paths to design THz antennas.  The already developed know-how for the design of microstrip antennas is found to be handy in this direction.  Metamaterials are the artificial structures whose properties are not easily found in nature.  From this general- ized notion, the focus of the research and development of metamaterial can be in anypart, if the proposed artificial structure follows the unique electromagnetic properties. The capability to  recognize a targeted  object accurately  by  its radar return  aloneunder all environmental conditions is of great concern to automatic target recognition (ATR) systems.  ATR generally refers to the use of computer processing to detect and recognize the target signature in sensor data.  ATR has become increasingly important in modern defence strategy because it permits precision strikes against specific tactical targets with minimized risk and maximized efficiency while decreasing surety damage to other objects.  A key advantage of using tools such as Artificial Neural Network (ANN) is that, since the algorithms automatically remember the available data, the resulting high-performance algorithms are customized to the variable data. 

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