Advances in Multistatic Sonar

摘要: Although the concept of multistatic active sonar (MAS) has been around for over 50 years, new trends have brought this technology to forefront anti-submarine warfare research. These include advancements in sensors and signal processing, submarine stealth, a desire track targets noisy reverberant environments, such as near-shore or shallow waters. The latest trend is exploit really game-changing capabilities unmanned autonomously operating underwater vehicles. focus chapter on advances processing enabling especially tracking low signature targets, namely with signal-to-noise ratio (SNR), multisensor environment. In particular, track-before-detect (TBD) approach its adaption pre-selected contact-based are addressed. TBD designed SNR targets. TBD-based procedures jointly process several consecutive pings and, relying target kinematics or, simply, exploiting physically admissible transitions, declare presence eventually, (Orlando et al., IEEE-TSP 2010). A algorithm typically fed by unthresholded data thresholded significantly lower thresholds than ones used conventional trackers. Moreover an important feature scheme so-called constant false acceptance rate (CFTAR) property: if ensures alarm property respect unknown statistics disturbance, then it allows controlling overall rate. herein presented considers bistatic architecture capable handling raw hydrophone CIP Remarkably, guarantees CFTAR property. Performance analysis highlights potential implement automatic continuation prepare classification temporarily weak these tasks usually challenges that MAS systems overcome. context sonar, batch also introduced, processes measurements provided multiple certain number FUSION time differences arrival bearing information maneuvering surveillance region. This tested benchmark set METRON collaborative international multi-laboratory research ongoing ISIF Multi-Static Tracking Working Group (Orlov, Metron Data 2009). remainder organized follows: next section devoted description systems. Section III focuses derivation (or TBD-based) processors. IV node selection strategy 2