In underwater surveillance active sonar is an important technological asset. Compared to passive sonar it features higher detection ranges and enables the detection of silent objects. As a drawback the interaction of sound waves with the seabed and the water surface causes false alarms, named clutter. False alarms usually appear randomly and variable in time and space. To distinguish false alar...

Fields of distributed passive and multistatic active sonar sensors provide a surveillance capability against quiet submarine threats in ASW scenarios. A significant challenge of heterogeneous, multi-sensor systems is the successful fusion of information from the various sensors to enable robust target detection, classification, localization, and tracking. Sensor fusion and tracking algorithms m...

Passive sonar sensors are the main source of information for a submerged submarine. Modern sonar systems like ISUS 90 offer a number of acoustic antennas and combined signal processing for broadband and narrowband detection and analysis of target noise. While broadband detection is often used to obtain an overview of the targets surrounding the own ship, narrowband processing enables the detect...

In undersea surveillance, active sonar systems are commonly used to detect submarines. These sonar systems allow high detection ranges, but the interaction of sound with the sea bottom may lead to a high number of false alarms as well, especially in shallow-water environments. Therefore, automatic detection and tracking procedures are needed to provide helpful assistance to sonar operators. The...

Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measurement uncertainty and the possibility to hide the receiver. However, the use of multi-target multi-sensor sonar tracking is challenging because of the complexity of the underwater environment, especially the low target detection probability and extremely large number of false alarms caused by reve...

Underwater multi-targets tracking has always been a difficult problem in active sonar tracking systems. In order to estimate the parameters of time-varying multi-targets moving in underwater environments, based on the Bayesian filtering framework, the Random Finite Set (RFS) is introduced to multi-targets tracking, which not only avoids the problem of data association in multi-targets tracking,...

The problem of extracting spectral lines from sonar images is treated using a complete scheme that combines an edge detector with a line tracking process. That is, the edge detection process allows lter-ing the sonar image and nding a region (zero-crossings of the second derivative of the sonar image) that includes a spectral line. The founded region is then used to initialize and to limit the ...

The paper presents signal processing and control algorithms that enable autonomous tracking of the boundaries between distinct benthic regions by an AUV equipped of a profiler sonar. A novel sonar classification algorithm is presented, which uses the signature of the ocean floor in the incoming profilers to discriminate between distinct materials. By exploiting sonar scans of the region below t...

Towed low frequency active sonar systems (LFAS) are used in Anti-Submarine Warfare (ASW) to detect submarines. LFAS systems are hampered by reverberation in shallow water environments because the interaction of sound with the sea bottom can lead to a large number of point-like sonar contacts resulting in a high false alarm rate. Reducing the false alarm rate under a non-decreasing probability o...