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 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-0.5.3.tar.gz (20.9 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-0.5.3-py3-none-any.whl (10.5 kB view details)

Uploaded Python 3

File details

Details for the file uwa_channels-0.5.3.tar.gz.

File metadata

  • Download URL: uwa_channels-0.5.3.tar.gz
  • Upload date:
  • Size: 20.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for uwa_channels-0.5.3.tar.gz
Algorithm Hash digest
SHA256 d82b0d8e8a8e3fe21af9bddf4221cc83a31ecb580bea2eac7ba5c08711137e2d
MD5 4cac54d537e75c0f58685d924d0e25ba
BLAKE2b-256 20211a1afc923bd0eafb892d072a685a03f984a37c9b47012ccbbfeb44c9a55b

See more details on using hashes here.

Provenance

The following attestation bundles were made for uwa_channels-0.5.3.tar.gz:

Publisher: ci.yaml on uwa-channels/python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file uwa_channels-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: uwa_channels-0.5.3-py3-none-any.whl
  • Upload date:
  • Size: 10.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for uwa_channels-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0aca8e6b19ac1436df91bc43e4137570ce9e4991fc5ec6380dcd420b10f35fe3
MD5 152690ba7b30aad95cdf47e6ad8945aa
BLAKE2b-256 704eb129e2709e0bcca21b1870d824d30281ac0f750357bb84dfa1b34df071f0

See more details on using hashes here.

Provenance

The following attestation bundles were made for uwa_channels-0.5.3-py3-none-any.whl:

Publisher: ci.yaml on uwa-channels/python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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