Performance Prediction and Estimation for Underwater Target ...

Performance prediction and estimation is accomplished by analyzing the multichannel coherence statistics and characterizing the background ...

Index Terms—Detection performance prediction, estimation, and optimization, generalized likelihood ratio test, multichannel coherence detector, saddlepoint ...

Performance Prediction and Estimation for Underwater Target ...

Request PDF | Performance Prediction and Estimation for Underwater Target Detection Using Multichannel Sonar | A critical need in the development of any ...

Prediction of Acoustic Communication Performance in Marine ...

The first step is to estimate the covariance matrix and the second to predict the communication performance ... cokriging for estimation of underwater acoustic ...

Reliable underwater multi-target direction of arrival estimation with ...

39 Considering normalized prediction and target probability vectors ... performance, which are commonly used in DoA estimation and suitable for ...

Performance Prediction and Estimation for Underwater Target ...

Performance Prediction and Estimation for Underwater Target Detection Using Multichannel Sonar. IEEE J. Ocean. Eng. Pub Date : 2020-04-01. DOI : 10.1109/joe ...

Channel Prediction for Underwater Acoustic Communication - MDPI

Figure 2 shows the whole process of channel prediction. When the number of observed historical channels is small, linear algorithms can be used to predict; when ...

Effective underwater acoustic target passive localization of using a ...

Sound source ranging (SSR) and depth estimation are fundamental tasks in passive localization, aiming to determine target locations using passive sonar.

Underwater moving target detection using track-before-detect ...

To improve the detection and tracking performance, we propose using the track-before-detect (TBD) method with the low power and high refresh rate acoustic ...

Underwater Acoustic Target Tracking: A Review - PMC - NCBI

Real-time: In underwater tracking, the sensors are usually deployed in 3D-space and drift with the current. The tracking is highly dependent on ...

Deep learning-based DOA estimation using CRNN for underwater ...

Underwater DOA estimation methods are based on the capability of sonar arrays to receive acoustic signals transmitted from the source. The use ...

Target parameter estimation using measurements acquired with a ...

A performance prediction procedure is developed and applied to the evaluation of a passive tracking technique intended primarily for the localization of ...

DOA Estimation for Underwater Wideband Weak Targets Based on ...

Such estimation methods use the noise signal of target radiation to determine the target orientation. Substantial attention has been directed to DOA estimation ...

Enhancing underwater target localization through proximity-driven ...

State-of-the-art DOA estimate methods are used to assess the effectiveness of the proposed strategy. Conventional beamforming (CBF), multiple signal ...

Underwater target detection with hyperspectral imagery for search ...

This paper presents an environmentally adaptive algorithm for underwater target detection in multiple sonar images using the Sphericity Test. By estimating ...

Underwater Acoustic Target Tracking: A Review - Semantic Scholar

Algorithms for underwater acoustic target tracking are classified based on the methods used as: instrument-assisted methods; mode-based methods; ...

State Estimation of an Underwater Markov Chain Maneuvering ...

A continuous turning trajectory of the underwater target is assumed in this proposed Markov chain maneuvering state estimation system, which is being estimated ...

Underwater small target detection under YOLOv8-LA model - Nature

Performance prediction and estimation for underwater target detection using multichannel sonar. IEEE J. Ocean. Eng. 45, 534–546 (2019) ...

Predicting the Navigation Performance of Underwater Vehicles

There is a large body of literature on stochastic sensor models, estimation prediction using the Cramér Rao lower bound. (CRLB) and metrics for summarizing ...

A Self-Improving Framework for Joint Depth Estimation and ...

Underwater target detection (UTD) is one of the most attractive research topics in hyperspectral imagery (HSI) processing. Most of the existing methods are ...