ABSTRACT:

A new polarization measurement algorithm by using the sum and difference beam differential property of mono-pulse radar is given. Based on the generation mechanism differences between the target scattering and multi-false-target jamming, the signal models of real targets and digital deceptive false target jamming for sum and delta channel are presented. The polarization discrimination parameters are designed, and the discrimination method and its performance are discussed. This novel method does not need the accurate estimation of the absolute value of full target polarization scattering matrix, but only requires the relative estimation of the orthogonal polarized component of the targets. Without the need to add additional polarization channels, the proposed method is more suitable for engineering realization. The simulation experiment verifies that the correctly identifying probability can be better than 90%.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Novel Secure Outsourcing of Modular Inversion for Arbitrary and Variable Modulus ABSTRACT: In the fields of cryptography and algorithmic number theory, modular inversion is regarded as one of the operations that
PROJECT TITLE : A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing ABSTRACT: An IoT (Internet of Things)-based vehicular ad-hoc network and a software-defined network are the two components
PROJECT TITLE : Progressive Self-Supervised Clustering With Novel Category Discovery ABSTRACT: Clustering is one of the most classical methods used to analyze data structures in machine learning and pattern recognition at the
PROJECT TITLE : Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer ABSTRACT: The goal of low-rank minimization is to recover a matrix with the lowest possible rank while still satisfying the constraints
PROJECT TITLE : A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification ABSTRACT: One of the challenges that classification must overcome is the fact that the data

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry