DocumentCode :
2791252
Title :
The Detection and Classification of Broadband Signals in Reverberant Dispersive Environments
Author :
Lynch, Robert ; Kirsteins, Ivars ; Kelly, James
Author_Institution :
Naval Undersea Warfare Center, Newport, RI
fYear :
2005
fDate :
5-12 March 2005
Firstpage :
1
Lastpage :
7
Abstract :
The use of broadband waveforms has been suggested as a means of improving active sonar performance against slow moving or stationary targets in littoral waters. In principle, the use of a wide spectrum permits the design of waveforms with nearly ideal "thumbtack-like" ambiguity functions. However, the ocean has dispersive characteristics in both time and frequency that can prevent the idealized broadband gains from being realized. These dispersive effects or coherence losses result in nonidealized signal-echo cross-ambiguity function properties. At present, it is not well understood how coherence losses affect the cross-ambiguity function. The objectives of this paper are to investigate the study and quantify the effects of coherence loss on detection in reverberation-limited environments and provide insight into the maximum tolerable coherence losses and optimum sonar receiver design
Keywords :
coherence; dispersive channels; signal classification; signal detection; sonar signal processing; waveform generators; active sonar performance; ambiguity functions; broadband signal classification; broadband signal detection; broadband waveforms; coherence losses; cross-ambiguity function properties; dispersive effects; nonidealized function properties; optimum sonar receiver; reverberant dispersive environments; signal-echo function properties; Acoustic distortion; Bandwidth; Coherence; Dispersion; Frequency; Oceans; Propagation losses; Reverberation; Signal resolution; Sonar detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2005 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-8870-4
Type :
conf
DOI :
10.1109/AERO.2005.1559532
Filename :
1559532
Link To Document :
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