Kraken-Based Matched Field Processing for Acoustic Source Localization Example

Resource Overview

Sample implementation of sound source localization using matched field processing with Kraken modeling package (requires independent download)

Detailed Documentation

This example demonstrates acoustic source localization using matched field processing implemented with the Kraken modeling software. Kraken is a widely-used acoustic field modeling tool capable of simulating sound wave propagation in complex underwater environments. The implementation typically involves configuring environment parameters through Kraken's input files (.env format) and executing the model to generate replica vectors. The matching algorithm compares measured field data with these simulated replicas using correlation-based methods to estimate source position. To utilize this package, users must first download and install the Kraken software suite. After installation, the workflow involves preparing environmental configuration files, running Kraken simulations to generate acoustic field data, and implementing matched field processing algorithms (such as Bartlett or MVDR processors) to correlate measured signals with modeled replicas for precise source localization.