Related Experiment Video
Updated: Dec 25, 2025
11:23
Lensless Fluorescent Microscopy on a Chip
Published on: August 17, 2011
18.0K
Analysis of the ray-based blind deconvolution algorithm for shipping sources
Nicholas C Durofchalk1, Karim G Sabra1
1Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
The Journal of the Acoustical Society of America
|April 3, 2020
Summary
This study validates the ray-based blind deconvolution (RBD) technique for ocean acoustics. It confirms RBD accurately estimates channel impulse responses (CIR) from shipping noise, even with source motion.
Area of Science:
- Ocean acoustics
- Signal processing
- Underwater acoustics
Background:
- Ray-based blind deconvolution (RBD) estimates source waveforms and channel impulse responses (CIR) in ocean waveguides.
- Previous studies were limited to specific conditions and a narrow range of parameters.
Purpose of the Study:
- To systematically investigate RBD performance for shipping sources in the Santa Barbara Channel.
- To compare RBD-derived CIR with active source measurements.
- To quantify the impact of source motion on RBD.
Main Methods:
- Deployed short-aperture, bottom-mounted vertical arrays.
- Recorded signals from a diverse set of shipping vessels.
- Analyzed data across various frequency bands and integration times.
- Conducted numerical and experimental analyses of source motion effects.
Main Results:
- RBD effectively estimates CIR from shipping noise across different frequencies and integration times.
- RBD performance was validated against active source measurements.
- Source motion was quantified and its influence on the RBD algorithm was determined.
Conclusions:
- RBD is a robust technique for passive channel estimation in ocean waveguides.
- The method is applicable to a wide range of shipping sources and environmental conditions.
- Understanding source motion is crucial for accurate RBD application.
Related Concept Videos
01:20Deconvolution
494
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
494
01:18Uniform Depth Channel Flow: Problem Solving
389
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
389
02:07Blind Procedures
12.7K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
12.7K