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

Kaustubh Bhattacharyya

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English

Mohammed Abdul Sattar
19 September 2023

Communications engineering & telecommunications; Radar; Neural networks & fuzzy systems

Summary
Details

The means of sending and receiving information without physical interaction has always been an area of interest. Communication engineers are keen to improve the quality 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 any part, if the proposed artiﬁcial structure follows the unique electromagnetic properties.

The capability to recognize a targeted object accurately by its radar return alone under 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.

By: Kaustubh Bhattacharyya
Imprint: Mohammed Abdul Sattar
Dimensions: Height: 279mm, Width: 216mm, Spine: 11mm
Weight: 494g
ISBN: 9798223045090
Pages: 208
Publication Date: 19 September 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active