PROJECT TITLE:

New Sparse-Promoting Prior for the Estimation of aRadar Scene with Weak and Strong Targets - 2016

ABSTRACT:

In this paper, we have a tendency to take into account the matter of estimating a sign of interest embedded in noise employing a sparse signal illustration (SSR) approach. This problem has relevancy in many radar applications. In specific, estimating a radar scene consisting of targets with wide amplitude vary can be challenging since the sidelobes of a robust target can disrupt the estimation of a weak one. At intervals a Bayesian framework, we have a tendency to gift a replacement sparse-promoting prior designed to estimate this specific kind of radar scene. The main strength of this new prior lies in its mixed-type structure which decorrelates sparsity level and target power, along with in its subdivided support which enables the estimation method to span the full target power range. This algorithm is implemented through a Monte-Carlo Markov chain. It is successfully evaluated on artificial and semiexperimental radar information and compared to state-of-the-art algorithms.


Did you like this research project?

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


PROJECT TITLE :A new architecture of INC-fuzzy hybrid method for tracking maximumpower purpose in PV cellsABSTRACT:The importance and necessity of energy for human societies are so clear however the traditional sources of energy
PROJECT TITLE :Performance Analysis of a New Calibration Method for Fiber Nonlinearity Compensation - 2018ABSTRACT:Digital signal processing for fiber nonlinearity compensation could be a key enabler for the ever-increasing demand
PROJECT TITLE :New Bound on Partial Hamming Correlation of Low-Hit-Zone Frequency Hopping Sequences and Optimal Constructions - 2018ABSTRACT:During this letter, a brand new bound on partial Hamming correlation (PHC) of low-hit-zone
PROJECT TITLE :New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features - 2018ABSTRACT:A new feature-extraction paradigm for graph-based automatic modulation classification is proposed in
PROJECT TITLE :A New Construction of EVENODD Codes With Lower Computational Complexity - 2018ABSTRACT:EVENODD codes are binary array codes for correcting double disk failures in RAID-half-dozen with asymptotically optimal encoding

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

Project Enquiry