Self-interference channel characterization in underwater acoustic decoy and difficulty of interference cancellation in digital domain

As an underwater countermeasure device, the acoustic decoy features an integrated transmit-receive structure, which results in the proximal transmitted signals propagating through the underwater acoustic channel to the receiver, thereby reducing the signal-to-interference ratio and impairing the decoy's ability to suppress self-generated interference. This interference, in turn, affects the detection performance of the acoustic decoy for target signals. In this study, a model was developed to address the issue of self-interference based on the acoustic conditions under which the decoy operates. The transmission characteristics and time-varying properties of the self-interference channel were analyzed, along with the challenges present within this context. A lake experiment was conducted, and the characteristics of the self-interference transmission channel were analyzed based on the experimental data. Two primary digital-domain interference cancellation algorithms were applied to process the self-interference signals, and the limitations of these algorithms in cancelling self-interference were assessed. Finally, based on the practical application requirements and the expected performance in suppressing proximal self-interference, potential directions for the design and improvement of interference cancellation algorithms were proposed.

Authors

Institutions

Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1117/12.3060977
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-interference channel characterization in underwater acoustic decoy and difficulty of interference cancellation in digital domain

Duwen Zhai, Chunhao Shi, Jing Hai Yu, J. Yu
Underwater Vehicles and Communication Systems
article

Self-interference channel characterization in underwater acoustic decoy and difficulty of interference cancellation in digital domain

Duwen Zhai, Chunhao Shi, Jing Hai Yu, J. Yu
article en

Abstract

As an underwater countermeasure device, the acoustic decoy features an integrated transmit-receive structure, which results in the proximal transmitted signals propagating through the underwater acoustic channel to the receiver, thereby reducing the signal-to-interference ratio and impairing the decoy's ability to suppress self-generated interference. This interference, in turn, affects the detection performance of the acoustic decoy for target signals. In this study, a model was developed to address the issue of self-interference based on the acoustic conditions under which the decoy operates. The transmission characteristics and time-varying properties of the self-interference channel were analyzed, along with the challenges present within this context. A lake experiment was conducted, and the characteristics of the self-interference transmission channel were analyzed based on the experimental data. Two primary digital-domain interference cancellation algorithms were applied to process the self-interference signals, and the limitations of these algorithms in cancelling self-interference were assessed. Finally, based on the practical application requirements and the expected performance in suppressing proximal self-interference, potential directions for the design and improvement of interference cancellation algorithms were proposed.

China State Shipbuilding (China) (CN)
Life below water
Openalex Percentile: Top 92%
Underwater Vehicles and Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Self-interference channel characterization in underwater acoustic decoy and difficulty of interference cancellation in digital domain — Duwen Zhai, Chunhao Shi, et al. · (2025) | TGRS Research Map | TGRS