On Marine Mammal Acoustic Detection Performance Bounds

TL;DR

This paper introduces a phase-based Short Time Fourier Transform detector for marine mammal detection, demonstrating superior performance over traditional spectrogram-based methods across various ocean environments and signal-to-noise ratios.

Contribution

The paper presents a novel phase-aware detection algorithm that outperforms existing spectrogram-based detectors in marine mammal acoustic detection.

Findings

The phase-based detector outperforms spectrogram-based detectors across tested environments.

The detector maintains high performance at different SNR levels.

Simulations confirm effectiveness using North Atlantic Right Whale signals.

Abstract

Since the spectrogram does not preserve phase information contained in the original data, any algorithm based on the spectrogram is not likely to be optimum for detection. In this paper, we present the Short Time Fourier Transform detector to detect marine mammals in the time-frequency plane. The detector uses phase information for detection. We evaluate this detector by comparing it to the existing spectrogram based detectors for different SNRs and various environments including a known ocean, uncertain ocean, and mean ocean. The results show that this detector outperforms the spectrogram based detector. Simulations are presented using the polynomial phase signal model of the North Atlantic Right Whale (NARW), along with the bellhop ray tracing model.