An Adaptive Eigen-value Based Diagonal Loading Technique to Improve Wideband Direction of Arrival Estimation (DOA) Accuracy for Smart Antenna System.

Abstract

Abstract: The need for mobile communications is continually expanding, which drives up the demand for greater coverage, more capacity, and enhanced transmission quality. As a result, the radio spectrum needs to be used more effectively. The sort of antenna array that is adaptive Smart antenna systems hold out hope for a viable remedy to the issues with current wireless systems while attaining dependable and robust high-speed high-data-rate transmission. Smart antenna systems are capable of effectively exploiting the radio spectrum. Radars may effectively employ direction of arrival estimation (DOA) algorithms and interference cancellation to rebuild the original received signals and aid in the position determination of those signals. military surveillance, sonars, seismic exploration, and communications systems. Wideband signals are more challenging since they require more data and computer power to solve the same problem. Both fixed diagonal loading and diagonal loading based on Eigenvalues employ fixed diagonal loading factors that are independent of direction inaccuracy. The approaches, known as FDL and EDL, estimate the loading factor by adequately adapting already-presented narrowband beamforming techniques, and they demand perfect knowledge of the steering vector error, just like narrowband techniques do.

Wideband DOA estimation techniques like Incoherent Subspace Processing (ISSM) and Coherent Signal Subspace Processing (CSSM) with Eigen-value Based Diagonal Loading Technique are presented in this study to improve wideband DOA accuracy. A uniform linear array antenna was used to test the mathematical adjustment for various correlated and uncorrelated wideband signals entering at various incoming angles. with knowledge of or an estimate of the incoming signal direction. This document will be processed entirely on a computer using MATLAB.