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Method to Determine the Far-Field Beam Pattern of A Long Array From Subarray Beam Pattern Measurements.

Donghwan Jung¹, Jeasoo Kim¹

¹Department of Ocean Engineering, Korea Maritime and Ocean University, Busan 49112, Korea.

Sensors (Basel, Switzerland)

|February 28, 2020

Summary

A new subarray method efficiently measures array sonar beam patterns in limited spaces. This technique overcomes near-field constraints, reducing measurement time and improving performance verification.

Keywords:

array sonar beam pattern discrete line array near-field subarray

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Area of Science:

Acoustics
Array Signal Processing
Sonar Technology

Background:

Beam pattern measurement is crucial for array sonar performance validation.
Limited measurement spaces, such as acoustic tanks, pose challenges in achieving far-field and plane wave conditions.
Conventional near-field to far-field transformation methods are time-consuming due to dense spatial sampling.

Purpose of the Study:

To develop an efficient method for measuring the beam pattern of a discrete line array in limited spaces.
To overcome the limitations of conventional methods in terms of measurement time and spatial sampling density.

Main Methods:

A discrete line array is divided into several subarrays.
Beam patterns are measured for each subarray.
The overall beam pattern is determined using spatial convolution of subarray measurements, equivalent to beam pattern multiplication.
The method was validated using simulations and experimental measurements on a 256-element line array composed of 16 subarrays.

Main Results:

The proposed subarray method successfully measures the beam pattern in a limited space.
The method provides an efficient alternative to conventional near-field measurement techniques.
Validation through simulation and experiment confirmed the method's efficacy.

Conclusions:

The subarray method offers a time-efficient and practical solution for array sonar beam pattern measurement in confined environments.
This technique enhances the feasibility of performance verification for sonar arrays where far-field conditions cannot be met.
The spatial convolution approach effectively reconstructs the array's beam pattern from subarray data.