Balanced Neural Architecture Search and Its Application in Specific Emitter Identification

Transfer Learning by Sample Selection Bias Correction and Its Application in Communication Specific Emitter Identification

—In many traditional machine learning algorithms, a major assumption is that the training samples and the test samples have the same distribution. However, this assumption does not hold in many real applications. In recent years, transfer learning has attracted a significant amount of attention to solve this problem. In this paper, a novel transfer learning method based on clustering analysis ...

Advanced Communications Specific Emitter Identification

Radio Frequency Identi cation (RFID) tags are used to track inventory and for automatic recognition of ID cards and passports. Reproduction of the electronic equivalent of an RFID chip, commonly known as RFID cloning, is a straightforward process and can lead to serious security breaches. A cloned RFID badge can allow for unauthorized access to secured areas. Speci c Emitter Identi cation (SEI)...

A Balanced Learning CMAC Neural Networks Model and Its Application to Identification

Neural Network Sensitivity to Inputs and Weights and its Application to Functional Identification of Robotics Manipulators

Neural networks are applied to the system identification problems using adaptive algorithms for either parameter or functional estimation of dynamic systems. In this paper the neural networks' sensitivity to input values and connections' weights, is studied. The Reduction-Sigmoid-Amplification (RSA) neurons are introduced and four different models of neural network architecture are proposed and...

A Vector Neural Network for Emitter Identification

This paper proposes a three-layer vector neural network (VNN) with a supervised learning algorithm suitable for signal classification in general, and for emitter identification (EID) in particular. The VNN can accept interval-value input data as well as scalar input data. The input features of the EID problems include the radio frequency, pulse width, and pulse repetition interval of a received...