International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online) Vol. 10, Issue 4, pp: (88-99), Month: October - December 2022, Available at: www.researchpublish.com
A Review on AI Based Target Classification Advanced Techniques Vinaya Bamane1, Jayesh Sapkale1, Anisha Pawar1, P.G.Chilveri1, Nargis Akhter2, A Arockia Bazil Raj2* 1
Electronics and Telecommunication Engineering, Smt.Kashibai Navale College of Engineering, Vadgaon, Pune, India – 411041 RF Photonics Laboratory, Electronics Engineering, Defence Institute of Advance Technology, Pune, India – 411025
2
DOI: https://doi.org/10.5281/zenodo.7491584
Published Date: 29-December-2022
Abstract: As we know that surveillance in the air has become one of the important defence precautions that we must take. So, for that reason radar plays a very important role as it captures images that can fool a human eye and then converts it into process able data. Then this data can be sorted and classified by our Artificial Intelligence Algorithms. Even here we have a variety of models for this purpose but it is up to us and our data and the output we expect, which Algorithm should be used. Here in this Survey, we have researched on different Radar Systems as well as the different signals that it generates and many AI Algorithms that are currently used in the industry. Keywords: Radars, Artificial Intelligence, sUAV detection techniques, Classification Techniques, CNN.
1. INTRODUCTION A radar is device from which we get different images that are converted to different signals and given in the form of input to the AI algorithms. There are different detection techniques for sUAVs which can be a harmful threat to our nation. Illegal use of these sUAVs has been increased in these few years which leads us to finding new variations in our techniques. In this survey we have put forth the different techniques used in the classification of the targets, which are produced by the radars [1]. 1.1 RADARS Radar means Radio Detection and Ranging. It is an electromagnetic device that can detect, track, and find objects of different types at far distances. It works by sending electromagnetic radiation in the direction of what are called targets and then listening for the echoes that come back. The targets may be automobiles, space bodies, ships, planes, boats, spaceships, birds, insects, rain, and even moving cars. Radars can track the presence, position, and velocity of these objects and also their size and shape. Radars have the capacity to identify distant objects in bad weather and precisely calculate their range and distance. Radar is an active sensing technology because it contains a transmitter that it has its own light source to find objects [2-6]. It generally runs between 400MHz and 40GHz as well as in optical and infrared frequencies which are both employed for long-range applications at lower frequencies. Wireless Radar transmitters can be classed into two types: coherent and incoherent. Coherent transmitters generate a signal with a predetermined phase before sending it. In incoherent transmitters the phase of the signal is unknown prior to the start of the broadcast output. Transmitters also fall into two categories: oscillators and power amplifiers. The invention of magnetron transmitters in the late 1930s led to the creation of radar systems that could operate at microwave frequencies, as described in the radar history section [8-10]. Despite its shortcomings, the magnetron transmitter is used in low-average power applications such as aerial weather-avoidance radar and ship navigation radar. The magnetron is a form of power
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