Browsing by Author "Haralabus, Georgios"
Now showing items 1-12 of 12
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Active detection enhancement in coastal areas
Haralabus, Georgios; Baldacci, Alberto; Laterveer, Rene (NURC, 2006/08)The processing chain used for active detection analysis in association with measures of performance that allow real time performance monitoring is presented. Real life examples demonstrating environmental volatility ... -
Adaptive normalization of active sonar data
Baldacci, Alberto; Haralabus, Georgios (NURC, 2006/08)In active sonar detection the background interference is reduced through normalization prior to applying a detection threshold. From the two mainstream normalization algorithms, i.e. the sliding window and the split window, ... -
Adaptive sub-band processing in active detection and tracking
Baldacci, Alberto; Haralabus, Georgios; Coraluppi, Stefano; Prior, Mark K. (NURC, 2007/11)Broadband active systems have the potential to increase detection performance in reverberation-limited areas through increased signal bandwidth, i.e. small resolution cell. However, large bandwidth could over-resolve the ... -
Cardioid receive array calibration for active systems
Baldacci, Alberto; Haralabus, Georgios; Van Velzen, Marcel (NURC, 2006/08)Nowadays active detection improvement relies significantly on advanced sensor technology, such as the cardioid receive array that allows the directional (right/left) discrimination of the received signal. However, in ... -
Channel sensitive processor: real data processing
Haralabus, Georgios (NATO. SACLANTCEN, 1998/02)The CSP is applied to data collected during the DUSS97 sea trial. A one-way geometry is used and the transmitted signal propagation time is known a priori. As predicted by analytical and simulation studies, the CSP detector ... -
Channel sensitive processor: sensitivity and optimization study
Haralabus, Georgios (NATO. SACLANTCEN, 1997/10)The detection performance of the Channel-Sensitive Processor (CSP) has been tested in dense multipath conditions. It was demonstrated that, for a known propagation channel, the CSP outperforms the conventional matched ... -
Channel-sensitive processor: development and detection performance evaluation
Alexandrou, D.; Haralabus, Georgios (NATO. SACLANTCEN, 1997/03)A Channel Sensitive Processor (CSP) which improves upon the detection performance of the traditional matched filter is developed. This method compensates for the performance degradation of the matched filter due to dense ... -
DUSS97: source localization and environmental inversion using vertical array data
Waldhorst, A.; Haralabus, Georgios (NATO. SACLANTCEN, 1998/08)Results on source localization and environmental inversion using experimental data acquired on a vertical line array are presented. Global inversion methods based on genetic algorithms are utilized to estimated the range ... -
Impact of seafloor and water column parameter variations on signal-to-background ratio estimates: a sensitivity study based on sonar performance modeling
Baldacci, Alberto; Haralabus, Georgios (NURC, 2006/08)Regardless of how accurate modeling can be, if the set of assumptions made with regard to the propagation conditions are not precise, sonar performance predictions diverge from the corresponding measured values. Here a ... -
Signal processing for an active sonar system suitable for advanced sensor technology applications and environmental adaptation schemes
Baldacci, Alberto; Haralabus, Georgios (NURC, 2006/08)An overview of the basic elements of an active sonar system in conjunction with a description of the signal processing chain utilized at the NATO Undersea Research Centre for detection and localization of undersea targets ... -
Source localization in shallow water using multi-frequency processing of shot data
Haralabus, Georgios; Gerstoft, P. (NATO. SACLANTCEN, 1996/07)Multi-frequency processing methods are applied to real data generated by explosives to examine the -
Statistical characteristics of large-scale bottom reverberation
Haralabus, Georgios (NATO. SACLANTCEN, 1995/07)Simulation results from a statistical characterization of large-scale bottom reverberation from broadband signals are presented. The seafloor profile is parametrized via the surface root-mean-square height and correlation ...