MUSAC II: A Method for Modeling Passive Sonar Classification in a Multiple Target Environment.

reportActive / Technical Report | Accession Number: ADA028936 | Open PDF

Abstract:

MUSAC 2 is a mathematical representation of passive sonar classification. The principle attribute of MUSAC 2 is its multiple target capability. The methodology is based on the detection of Lofar lines, Demon lines, and broadband noise. MUSAC 2 uses a sequential, Bayesian decision-making approach. The methodology is designed for use in a Monte Carlo, time step simulation of acoustic warfare engagements.

Author(s):
Olmstead, J. R. ; Elfers, T. R.
Author Organization(s):
STANFORD RESEARCH INST MENLO PARK CA NAVAL WARFARE RESEARCH CENTER
Descriptive Note:
Technical note,
Pagination:
0119

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
NWRC-TN-62
Contract/Grant Number(s):
N00014-76-C-0166
Project Number(s):
NR-364-234, SRI-4512
Monitor Series:
ONR
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.4_Decide; JCA_4.6_Engineering; JCA_4.6.2_Combat Engineering; JCA_5.3_Planning; JCA_5.5_Direct; JCA_5.3.2_Apply Situational Understanding; JCA_5.5.1_Communicate Intent and Guidance; JCA_1.2.2_Exercising; JCA_5.5.2_Task
Modernization Areas:
Fully Networked C3
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*TARGET CLASSIFICATION, *PASSIVE SONAR, MATHEMATICAL MODELS, DECISION MAKING, BROADBAND, HYPOTHESES, BAYES THEOREM, NARROWBAND
Field(s)/Group(s):
Acoustic Detection and Detectors
Keyword(s):
MUSAC 2 system
Report Date:
1976 Feb 01