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A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
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REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
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TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
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ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
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Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
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Modified Gray Wolf Feature Selection and Machine Learning Classification for Wireless Sensor Network Intrusion Detection
Volume-3 | Issue-2
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
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Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 2 | Issue - 1 | march 2020
Published
17 April, 2020
The increase in the number of emitters operating at a frequency close to that of the modern radar systems impose a major challenge on the rapidly developing market for communication systems and the increasing demand for electromagnetic spectrum. Interference problems occur when multiple radar systems of the same type operate in the same environment with limited bandwidth availability and leads to frequency regions overlap. The radar systems incur significant performance losses due to the inferences caused under such circumstances. The concept of Cognitive Radar can provide solutions for such issues. This paper provides an improved Cognitive Radar architecture to address these challenges. The strong interference signals are suppressed using adaptive processing technique. The significant market advantages and application overview of this system is also presented in this paper.
KeywordsCognitive radar wireless communication pulse jammer suppression STFT Blanking algorithm
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