Modelling and Enhancement of Stripmap Mode Coherent Sonar

Conventional sonar offers low-resolution imaging of a target region. Synthetic aperture sonar (SAS) modeling ischallenging than the conventional systems because the towfish path geometry is more complicated and the data are usually non stationary. This paper investigates the application of synthetic aperture technique to sonar image and develops a new model for two-dimensional (2-D) SAS target feature extraction. The technique is shown to be accurate at resolving. Time-domain algorithms can handle general sonar cases, but they are very inefficient; therefore, frequency-domain methods are preferred. In this paper, we discuss the chirp scaling algorithm (CSA) to handle SAS data. An attempt is then made to overcome some of the motion errors inherent in the current 2-D SAS. Simulations are implemented and the accuracy of the technique is assessed.