due to the complex physical properties of the detected targets using sonar systems, identification and classification of the actual targets is among the most difficult and complex issues of this field. considering the characteristics of the detected targets and unique capabilities of the intelligent methods in classification of their dataset, these methods seem to be the proper choice for the t...

The Applied Physics Laboratory and its subcontractors have been leaders in the development of programmable sonar signal processors for 19 years. Several novel architectures for both hardware and software have resulted, giving APL the most powerful sonar signal-processing facilities in the United States. This article traces the historical evolution of sonar-processing hardware, with emphasis on ...

Based on the target scattering model and normal mode theory in a shallow water waveguide, mathematical of acoustic intensity under coupling condition environment was deduced, interference striations monostatic bistatic configuration were obtained by simulations. Further, field experiment carried out lake, data collected for spherical two frequency bands, i.e., 20−40 kHz 40−80 kHz. The results s...

This paper studies the inverse problem of determining the shape and medium parameters of a smooth seafloor from sonar data. The first section of the paper reviews beamforming techniques and the Kirchhoff (high-frequency) approximation. The second section carries out a stationary phase calculation for various measurement configurations associated with side-scan sonar and pencil-beam sonar. These...

The Sonar Performance Prediction System (SPPS) will be introduced. The SPPS is an integrated ocean-acoustic propagation model coupled with a sonar performance prediction model. A stationary sea surveillance sonar consisting of a horizontally nested hydrophone array and a vertical transmitting/ receiving array may be used lo dctcct, localisc and track surface and subsurfacc contacts within its c...

To solve the low efficiency of traditional synthetic aperture sonar (SAS) imaging problem, a sonar imaging system combining compressed sensing (CS) and template compressed sensing (TCS) was proposed. The system used sonar network to image scenes. With 10% amount of traditional SAS data, CS and TCS algorithms could recover the image exploiting the structured sparsity of the interested scene with...

Robotics research is heavily dependent on fast, accurate, reliable and cheap sensors. Sonar sensing can fulfil these requirements in air and underwater environments. Moreover sonar physics provides robotics researchers with a natural selection capability for landmark detection in navigation problems. This paper presents new sonar results that allow high-speed accurate measurement and classifica...

Object/target tracking refers to the problem of using sensor measurements to determine the location, path and characteristics of objects of interest. A sensor can be any measuring device, such as radar, sonar, ladar, camera, infrared sensor, microphone, ultrasound or any other sensor that can be used to collect information about objects in the environment. The typical objectives of object track...

This paper presents the advanced sonar sensor model capable of building an underwater terrain map based on the Bayes filter in the manner of the occupancy grid. The proposed sonar sensor model basically considers the losses of received ultrasound intensity according to the underwater absorption and reflection on a terrain surface. The Bayes filter including the advanced sonar sensor model is ap...

An expert system can process active sonar returns, perform geometric analysis and autonomously classify detected underwater objects. Autonomous classification of objects is an essential requirement for independent operation by autonomous underwater vehicles (AUVs). Most AUVs are only capable of rudimentary sensor analysis, since standard approaches to evaluation and classification of sonar data...