A NOVEL HIGH RESOLUTION DOA ESTIMATION DESIGN ALGORITHM OF CLOSE SOURCES SIGNAL FOR UNDERWATER CONDITIONS

Prashil M Junghare, Shoaib Wajid, Cyril Prasanna Raj P., Richard Lincoln Paulraj

Abstract: Underwater target finding in ocean environment has gain considerable interest in both military and civilian applications. In this paper the performance of directions finding techniques, subspace and the non-subspace methods are presented. In this paper, the Eigen analysis of high resolution and supreme resolution algorithms, comparisons and the performance, resolution analysis are done. The analysis is based on linear array elements and the calculation of the pseudo spectra function of the valuation algorithms. Traditional MUSIC algorithm decomposes the signal covariance matrix and then make the signals subspace obtained is orthogonal to the noise subspace, which decreases the effect of the noise. But when the signals intervals are very small, traditional improved MUSIC algorithm has been unable to distinguish the signals as the SNR decreases. A new improved algorithm is introduced using Singular value decomposition of the covariance matrix. An antenna of ULA configuration is taken for both the algorithms. Simulation results show that projected method gives better performance than MUSIC algorithm. In this newly Modified MUSIC algorithm, conditions required for under water environment are taken into account such as water density, permittivity of water, pressure, Signal to Noise Ratio, speed of sound wave in water

Keywords: Underwater Communication, Number of Snapshots, Antenna Noise, Uniform Linear Array (ULA) and Distance Between Array Elements

DOI: https://doi.org/10.15623/ijret.2016.0504067