Abstract
Detection, classification, and tracking of small vessels are important tasks for improving port security and the security of coastal and offshore operations. Hydroacoustic sensors can be applied for the detection of noise generated by vessels, and this noise can be used for vessel detection, classification, and tracking. This paper presents recent improvements aimed at the measurement and separation of ship DEMON (Detection of Envelope Modulation on Noise) DEMON acoustic signatures in busy harbor conditions. Ship signature measurements were conducted in the Hudson River and NY Harbor. The DEMON spectra demonstrated much better temporal stability compared with the full ship spectra and were measured at distances up to 7 km. The combination of cross‐correlation and methods allowed separation of the acoustic signatures of ships in busy urban environments.
Highlights
Detection, classification, and tracking of small vessels are important tasks for improving port security and the security of coastal and offshore operations
We present results of experiments that were conducted in the Hudson River with the help of students from the Stevens Summer Research Institute (SRI) [23] in July 2010 and in a separate study conducted in lower NY Harbor in November 2009
We present the crosscorrelogram in the form of a floated chart similar to a spectrogram, a graph with two geometric dimensions: the horizontal axis represents time; the vertical axis is the delay between two hydrophone signals; a third dimension indicates the amplitude of the cross-correlation function
Summary
Classification, and tracking of small vessels are important tasks for improving port security and the security of coastal and offshore operations. The investigated layers include satellite-based wide area surveillance, HF Radar systems providing over-the-horizon monitoring, and nearshore and harbor passive acoustic surveillance. Integration of these systems is aimed at achieving vessel detection, classification, identification, and tracking. The application of the passive acoustic method for small vessel detection, classification, and tracking in noisy and busy urban environments requires the development of novel methods of signal processing. These methods are presented in this paper. The passive acoustic surface vessel surveillance tests presented in this paper were conducted by using the Stevens Passive Acoustic system initially developed for diver detection [20,21,22]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
