Robust symbol detection for single-carrier underwater acoustic communication in impulsive noise environment
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a robust underwater acoustic communication method using variational Bayesian inference (VBI) and vector approximate message passing (VAMP) to cancel impulsive noise. The novel approach improves bit error rate and communication system robustness.
Area Of Science
- Electrical Engineering
- Signal Processing
- Underwater Communications
Background
- Underwater acoustic communication systems are susceptible to impulsive noise, degrading performance.
- Existing methods for impulsive noise cancellation in communication systems have limitations.
Purpose Of The Study
- To develop a robust single-carrier iterative symbol detection method for underwater acoustic communication systems.
- To effectively cancel impulsive noise and improve communication reliability.
Main Methods
- A novel mixed model is proposed, distinguishing clean data from impulse-noise-induced outliers using binary indicator variables.
- Variational Bayesian inference (VBI) is employed for joint symbol and impulsive noise detection and compensation.
- Vector Approximate Message Passing (VAMP) is integrated into the VBI framework to enhance symbol detection.
- A channel estimation method based on damped generalized approximate message passing is introduced to reduce system complexity.
Main Results
- The proposed VBI-VAMP method demonstrates superior performance in impulsive noise environments.
- The technique significantly improves robustness and reduces the bit error rate (BER) compared to existing methods.
- Experimental results validate the effectiveness of the proposed communication system.
Conclusions
- The developed iterative symbol detection method offers a robust solution for underwater acoustic communications.
- The integration of VBI and VAMP provides an effective strategy for impulsive noise mitigation.
- The proposed system enhances the reliability and performance of underwater acoustic communication links.
Related Concept Videos
An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
for continuous-time signals and
for discrete-time signals. Even signals exhibit symmetry around the vertical axis, meaning the signal for negative time values mirrors that for positive time values.
In contrast, a signal is termed odd if it does not match its time-reversed counterpart, represented by
for continuous-time signals and
for...
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...

