Accession Number:

ADA076615

Title:

An Algorithm for Beam Noise Prediction,

Descriptive Note:

Corporate Author:

BOLT BERANEK AND NEWMAN INC ARLINGTON VA

Personal Author(s):

• Moll ,M.
• Zeskind ,R. M.
• Scott,W. L.

Report Date:

1979-05-01

Pagination or Media Count:

102.0

Abstract:

In a band of rather low frequencies, almost all of the ambient noise in the ocean is generated by ship traffic. The performance of sonars operating in this band is limited by this component of background noise therefore, it is necessary to measure or predict certain statistical measures of beam noise to support system design and deployment decisions. The probability measures of beam noise depend on many factors array configuration, orientation, and location including depth, and season. Thus it would be both expensive and time-consuming to attempt to obtain the required beam noise measures for a large number of sites experimentally. There is, therefore, considerable incentive for the development of a capability of predicting statistical measures of array beam noise. The aspects of beam noise that should be considered depend on the type of performance predictions desired. For detection predictions, the quantity of interest is the total noise power in selected of frequency bands. However, for prediction of false alarm or false classification rates, characterization of the narrowband components of shipping noise must be considered. Both aspects are addressed however, the bulk of the report pertains to the former.

Descriptors:

• *SHIP NOISE
• *ACOUSTIC BEAMS
• ALGORITHMS
• PROBABILITY DENSITY FUNCTIONS
• MATHEMATICAL PREDICTION
• PACIFIC OCEAN
• AMBIENT NOISE
• LOW FREQUENCY
• SONAR SIGNALS

Subject Categories:

• Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE