Non-cooperative emitter classification and localization with vector sensing and machine learning in indoor environments

Keyphrases

• Machine Learning 100%
• Indoor Environment 100%
• Nonoperative 100%
• Emitter Identification 100%
• Vector Sensing 100%
• Universal Mobile Telecommunication System 60%
• K-nearest 40%
• Wireless Security 40%
• Global System for Mobile Communication 40%
• Vector Sensor 40%
• Sensing Antenna 20%
• Three-dimensional (3D) 20%
• Access to Information 20%
• Short-time Fourier Transform 20%
• Narrowband 20%
• Line-of-sight 20%
• Sensor-based 20%
• Power Spectrum 20%
• Feature Extracting 20%
• Statistical Features 20%
• Transform Matrix 20%
• System Development 20%
• Support Vector Machine 20%
• Increased Demand 20%
• Code Division multiple Access 20%
• Wideband 20%
• Received Signal Strength 20%
• Received Power 20%
• Fingerprinting Technique 20%
• Wireless Technology 20%
• Two-machine 20%
• Long Term Evolution 20%
• Machine Learning Models 20%
• Wireless Protocol 20%
• Reduced Features 20%
• Cellular Services 20%
• Antenna Sensor 20%
• WCDMA 20%
• Strength Features 20%

Engineering

• Universal Mobile Telecommunications System 100%
• Antenna 66%
• Mobile Communication 66%
• Code Division Multiple Access 66%
• Radio Frequency 33%
• Short-Time Fourier Transform 33%
• Statistical Feature 33%
• Power Spectra 33%
• Received Signal Strength 33%
• Received Power 33%
• Wireless Technologies 33%
• Extracted Feature 33%
• Support Vector Machine 33%
• Long Term Evolution 33%

Computer Science

• Telecommunication System 100%
• Global System for Mobile Communication 66%
• Wireless Security 66%
• Code Division Multiple Access 66%
• Support Vector Machine 33%
• Extracted Feature 33%
• Access Information 33%
• Time Fourier Transform 33%
• Wireless Technologies 33%
• Statistical Feature 33%
• Received Signal Strength 33%