PROJECT TITLE :

Robust Adaptive Beamforming Based on Steering Vector Estimation With as Little as Possible Prior Information

ABSTRACT:

A general notion of robustness for robust adaptive beamforming (RAB) problem and a unified principle for minimum variance distortionless response (MVDR) RAB techniques design are formulated. This principle is to use standard MVDR beamformer in tandem with an estimate of the desired signal steering vector found based on some imprecise prior information. Differences between various MVDR RAB techniques occur only because of the differences in the assumed prior information and the corresponding signal steering vector estimation techniques. A new MVDR RAB technique, which uses as little as possible and easy to obtain imprecise prior information, is developed. The objective for estimating the steering vector is the maximization of the beamformer output power, while the constraints are the normalization condition and the requirement that the estimate does not converge to any of the interference steering vectors and their linear combinations. The prior information used is only the imprecise knowledge of the antenna array geometry and angular sector in which the actual steering vector lies. Mathematically, the proposed MVDR RAB is expressed as the well known non-convex quadratically constrained quadratic programming problem with two constraints, which can be efficiently and exactly solved. Some new results for the corresponding optimization problem such as a new algebraic way of finding the rank-one solution from the general-rank solution of the relaxed problem and the condition under which the solution of the relaxed problem is guaranteed to be rank-one are derived. Our simulation results demonstrate the superiority of the proposed method over other previously developed RAB techniques.


Did you like this research project?

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


PROJECT TITLE :Robust Modulation of PWM-Based Multi-Level Perpendicular Magnetic Recording for Conventional Media - 2018ABSTRACT:During this letter, we propose a sturdy 3-ary modulation for a pulse width modulation (PWM)-based
PROJECT TITLE :Robust Automated VHF Modulation Recognition Based on Deep Convolutional Neural Networks - 2018ABSTRACT:This letter proposes a completely unique modulation recognition algorithm for terribly high frequency (VHF)
PROJECT TITLE :Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018ABSTRACT:Taking into consideration the probabilistic uncertainty on the target radar cross
PROJECT TITLE :A Robust Parallel Algorithm for Combinatorial Compressed Sensing - 2018ABSTRACT:It was shown in previous work that a vector x E R n with at most k
PROJECT TITLE :Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model - 2018ABSTRACT:Low-light image enhancement ways based on classic Retinex model try to govern the estimated illumination and to project it

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

Project Enquiry