Analysis of Active Sonar Array Data Using High Resolution Methods

摘要

This report studies the application of some methods for high-resolution bearingestimation on real data from an active sonar array. Conventional beamforming is compared with MUSIC, MVDR and DML on data generated by one moving target and two stationary noise sources. The results of a data reducing beamspace-transform has been estimated indicating almost as good resolution as with non-reduced data. Simulated data has been generated to estimate the resolution-critical separation for two targets. The DML technique is superior in this simulated data application. The high-resolution methods give better result in tracking one single target than conventional beamforming. Range resolution by conventional matched filtering gave a very clear identification of the target as long as it is not close to either of the noise sources. Analysis for prediction of multipath propagation via surface interaction has been performed showing that due to the shallow depths of the sonar and the target the time differences are too small for separating the two incoming signals in the time domain.