Skip to main content

Replay, noise generation, and unpacking for measured underwater acoustic channels.

Project description

CI codecov

Underwater Acoustic Channel Toolbox — Python

Generic badge

Python toolbox for replaying signals through measured underwater acoustic channels, generating realistic ocean noise, and unpacking stored impulse responses. To learn more about the channels, check out the documentation.

Please report bugs and suggest enhancements by creating a new issue. We welcome your feedback. See CONTRIBUTING.md for more information.

Installation

pip install -i https://test.pypi.org/simple/ uwa-channels

Functions

Function Description
replay Pass a passband signal through a measured underwater acoustic channel.
noisegen Generate realistic ocean noise: pink Gaussian (17 dB/decade), spatially-correlated Gaussian, or impulsive (symmetric α-stable).
unpack Reconstruct the full time-varying impulse response from the compressed representation.

Quick start

Download the channel MAT-files from here and place them in your working directory.

Replay and noise generation

import h5py
from uwa_channels import replay, noisegen

channel = h5py.File("blue_1.mat", "r")
noise = h5py.File("blue_1_noise.mat", "r")

y = replay(input, fs, array_index, channel)
w = noisegen(y.shape, fs, array_index, noise)
r = y + 0.05 * w

See examples/example_replay.py for a complete example that generates a BPSK signal, replays it through the blue_1 channel, adds noise, and plots the received signal, cross-correlation, and spectrum.

Unpack

import h5py
from uwa_channels import unpack

channel = h5py.File("blue_1.mat", "r")
unpacked = unpack(fs_time, array_index, channel)

See examples/example_unpack.py for details.

Channel format

Each channel MAT-file contains:

Variable Description
h_hat Estimated impulse response, shape (K, M, T)
theta_hat or phi_hat Phase or delay-phase trajectory, shape (M, N)
params Group with fs_delay, fs_time, fc
meta Estimation metadata (see estimate repo)
version File format version

Each noise MAT-file contains:

Field Description
Fs Sampling rate at which noise statistics were measured [Hz]
R Signal bandwidth [Hz]
alpha Stability index (2 = Gaussian, < 2 = impulsive)
beta Mixing coefficients, shape (M, M, K)
fc Center frequency [Hz]
rms_power Per-channel RMS power scaling, shape (M, 1)
version Noise struct version

Tests

This repository includes automated testing via GitHub Actions. The tests folder contains three test suites:

Test What it verifies
test_replay Generates random mobile channels ({static, mobile} × {theta_hat, phi_hat}), transmits a signal, and checks that cross-correlation peaks match the true multipath structure.
test_noisegen Verifies output size, spectral shape (17 dB/decade), spatial correlation (theoretical vs. sample), bandpass filtering, rms_power scaling, Gaussianity (α = 2), and heavy-tail behavior (α < 2).
test_unpack Tests all tracking modes (none, theta_hat, phi_hat, f_resamp, and combinations) for correct impulse response reconstruction.

Tests run automatically on every push, ensuring continued correctness of the core functions.

Related repositories

Repository Description
uwa-channels/matlab MATLAB/Octave implementation of the replay toolbox.
uwa-channels/estimate Channel estimation from single-carrier signals, with visualization.

License

The license is available in the LICENSE file within this repository.

© 2025–2026, Underwater Acoustic Channels Group.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uwa_channels-0.5.0.tar.gz (21.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

uwa_channels-0.5.0-py3-none-any.whl (10.5 kB view details)

Uploaded Python 3

File details

Details for the file uwa_channels-0.5.0.tar.gz.

File metadata

  • Download URL: uwa_channels-0.5.0.tar.gz
  • Upload date:
  • Size: 21.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for uwa_channels-0.5.0.tar.gz
Algorithm Hash digest
SHA256 4f7b4aa2d18a6565fa55c3e659578c79c6ea043a9726d86ee84f1668d1f973f9
MD5 93a7d73a951cd7f1d16c544060b32f15
BLAKE2b-256 12c9366bfa4b92858bad1d0517c38e30bc434af9174eb9850f5e7ae6a53538e9

See more details on using hashes here.

File details

Details for the file uwa_channels-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: uwa_channels-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 10.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for uwa_channels-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7ca00ba8f10ba932a72f3381c37093b22cccdbccab2b42e3d75facc062607240
MD5 eb454d2adeb4f16ec5a3af0846f9375d
BLAKE2b-256 d69c73e5e84fc1b0639b3fa2274faa0c4439c143223cb3f384c1c9243989d77f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page