My Account | Careers | Downloads | Blog

PROJECT TITLE :

A Kalman Filter-Based Blind Adaptive Multi-User Detection Algorithm for Underwater Acoustic Networks

ABSTRACT:

An underwater acoustic Kalman filter-based mostly blind adaptive multi-user detection algorithm, appropriate for underwater acoustic Communication networks, is proposed in this paper. The algorithm will be utilized to effectively improve the system capability of multi-user Communication in underwater acoustic sensor networks, scale back transmitting power and prices on power control, extend the multi-user Communication distance, weaken or eliminate intersymbol interference, multiple access interference and close to-way result, so effectively utilizing restricted underwater frequency band resource. 1st, the dynamic model of underwater acoustic multi-user Communication system and also the optimal filter equation of the proposed algorithm are found. Second, computation complexity is analyzed, and convergence analysis is administrated in terms of excess mean output energy. Finally, pool, river, sea, and underneath-ice asynchronous Communication experiments are applied for both the scalar and also the vector hydrophones. Good experimental results verify the effectiveness of the proposed algorithm.


Did you like this research project?

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

PROJECT TITLE :Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering - 2018ABSTRACT:Inference of house-time varying signals on graphs emerges naturally during a plethora of network science
PROJECT TITLE : Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling - 2015 ABSTRACT: The fast development of 3D technology and computer vision applications has motivated a thrust of methodologies
PROJECT TITLE :Inverse Air-Pollutant Emission and Prediction Using Extended Fractional Kalman FilteringABSTRACT:It's essential to keep up air-quality standards and to require necessary measures when air-pollutant concentrations
PROJECT TITLE :Markerless Human–Manipulator Interface Using Leap Motion With Interval Kalman Filter and Improved Particle FilterABSTRACT:The aim of this paper is to propose a completely unique markerless human-robot interface,
PROJECT TITLE :Online Model-Based Condition Monitoring for Brushless Wound-Field Synchronous Generator to Detect and Diagnose Stator Windings Turn-to-Turn Shorts Using Extended Kalman FilterABSTRACT:In this paper, a model-primarily

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

Project Enquiry