Bias analysis and reduction for underwater localization problem (original) (raw)
Related papers
A Survey on Underwater Localization, Localization Techniques and Its Algorithms
Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
Underwater localization are an importantpart of underwater sensor networks (USNs). USNs attracted significant attention, they are widely used for many applications, such as tsunami before the reaching inhabited areas, pollution monitoring, civilian and military applicationsOcean resource exploration, USNs which are mounted on the ocean bottom can detect earth quakes and Ocean monitoring. The variable speed of sound and the non-negligible node mobility due to water currents create a unique set of challenges for localization in UWSNs. This present a comprehensive survey of different techniques which are employed in USNs. This survey paper mainly focus on USNs, Localization techniques and its algorithms.
A Review of Underwater Localization Techniques, Algorithms, and Challenges
Journal of Sensors, 2020
Recently, there has been increasing interest in the field of underwater wireless sensor networks (UWSNs), which is a basic source for the exploration of the ocean environment. A range of military and civilian applications is anticipated to assist UWSN. The UWSN is being developed by the extensive wireless sensor network (WSN) applications and wireless technologies. Therefore, in this paper, a review has been presented which unveils the existing challenges in the underwater environment. In this review, firstly, an introduction to UWSN is presented. After that, underwater localizations and the basics are presented. Secondly, the paper focuses on the architecture of UWSN and technologies used for underwater acoustic sensor network (UASN) localization. Various localization techniques are discussed in the paper classified by centralized and distributed localizations. They are further classified into estimated and prediction-based localizations. Also, various underwater localization algor...
Accurate Localization in Acoustic Underwater Localization Systems
Sensors
In underwater localization systems several sources of error may impact in different ways the accuracy of the final position estimates. Through simulations and statistical analysis it is possible to identify and characterize such sources of error and their relative importance. This is especially of use when an accurate localization system has to be designed within required accuracy prescriptions. This approach allows one to also investigate how much these sources of error influence the final position estimates achieved by an Extended Kalman Filter (EKF). This paper presents the results of experiments designed in a virtual environment used to simulate real acoustic underwater localization systems. The paper intends to analyze the main parameters that significantly influence the position estimates achieved by a Short Baseline (SBL) system. Specifically, the results of this analysis are presented for a proprietary localization system constituted by a surface platform equipped with four ...
IEEE Transactions on Instrumentation and Measurement, 2021
This paper addresses the underwater acoustical localization problem by using the time-difference-of-arrival (TDOA) and bearing-angle-of-arrival (BAOA) measurements. For the underwater acoustic equipment, such as the ultra-short baseline system (USBL), whose bearing measurements are different from the traditional angle-of-arrival (AOA) model, a closed-form solution for the hybrid TDOA/BAOA-based source localization problem is developed. However, the solution suffers from the measurement noise and cannot achieve the Cramer-Rao lower bound (CRLB) performance in the case of large measurement noise. Thus, an iterative constrained weighted least squares method is presented to further minimize the error in the case of large noise. The CRLB for hybrid TDOA/BAOA source localization is analyzed and the solution is proved to achieve the CRLB performance. Numerical simulations and field tests demonstrate that the proposed method outperforms the traditional methods in terms of estimation bias and accuracy. It can achieve the CRLB performance better.
Underwater localization and node mobility estimation
International Journal of Electrical and Computer Engineering (IJECE), 2022
In this paper, localizing a moving node in the context of underwater wireless sensor networks (UWSNs) is considered. Most existing algorithms have had designed to work with a static node in the networks. However, in practical case, the node is dynamic due to relative motion between the transmitter and receiver. The main idea is to record the time of arrival message (ToA) stamp and estimating the drift in the sampling frequency accordingly. It should be emphasized that, the channel conditions such as multipath and delay spread, and ambient noise is considered to make the system pragmatic. A joint prediction of the node mobility and speed are estimated based on the sampling frequency offset estimation. This sampling frequency offset drift is detected based on correlating an anticipated window in the orthogonal frequency division multiplexing (OFDM) of the received packet. The range and the distance of the mobile node is predicted from estimating the speed at the received packet and reused in the position estimation algorithm. The underwater acoustic channel is considered in this paper with 8 paths and maximum delay spread of 48 ms to simulate a pragmatic case. The performance is evaluated by adopting different nodes speeds in the simulation in two scenarios of expansion and compression. The results show that the proposed algorithm has a stable profile in the presence of severe channel conditions. Also, the result shows that the maximum speed that can be adopted in this algorithm is 9 km/h and the expansion case profile is more stable than the compression scenario. In addition, a comparison with a dynamic triangular algorithm (DTN) is presented in order to evaluate the proposed system.
Survey of Localizations Algorithms in Underwater Wireless Sensor Network
2021
The main objective of this research paper is to review and analyze the different existing localization algorithms techniques that are used to overcome the localization issue in the wireless sensor network. Underwater Wireless sensor networks consists up of small sensor nodes that are placed in huge quantity over a large water surface region to perform several tasks like sensing the data and communicate with other devices. Most of the applications of underwater wireless sensor networks like forest fire detection required the exact position of the sensing element. The main motive of the localization process is to localize the coordinates to the every node with unidentified location in the sensing area of underwater. In this paper, we have discussed various localization algorithms for localizing the sensor nodes like particle swarm optimization; bees optimization algorithm, bat algorithm, cuckoo optimization and butterfly optimization algorithm etc. are reviewed. The detail analysis of...
Localization Techniques and Their Challenges in Underwater Wireless Sensor Networks
2014
Underwater Wireless Sensor Networks (UWSNs) are widely used to explore aqueous environment. In UWSN, determining the location of sensor nodes is a critical issue. Sensed data is meaningful only when sensing node is localized. There are many techniques available for localization in Wireless Sensor Network (WSN) but they are not applicable in UWSN. GPS signals cannot be used underwater for localization. Underwater communication is based on acoustic waves. This paper explores the different localization schemes available for UWSN and challenges to meet the localization issue. Node mobility, high propagation delay, time synchronization and high bit error rate are the main challenges that need to be addressed. KeywordsUnderwater Wireless Sensor Network, Localization, Acoustic Communication.
Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks
OCEANS 2018 MTS/IEEE Charleston, 2018
The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However, online simultaneous tracking of large-scale mobile sensor network is still a very challenging research area due to the high cost and the very limited number of vehicles that can be simultaneously localized using Ultra-Short Base Line (USBL) system. We propose a confidence-based localization algorithm for large-scale underwater mobile sensor networks that employs high precision localized sensor nodes in neighboring sensor nodes localization. Numerical simulation shows that a swarm of 100 sensor nodes can be tracked using a single USBL system, range measurement sensors and communication modems.
Impact of LBL Calibration on the Accuracy of Underwater Localization
Proceedings of the 19th IFAC World Congress, 2014
The use of Long Baseline (LBL) systems is quite consolidated in the underwater domain, especially within applications where it is important to precisely localize submerged devices close to the sea bottom. Indeed with a LBL acoustic array the nominal positioning accuracy for seabed applications results to be not dependent on the depth and almost constant at any point inside the area delimited by the transponders. Despite the above advantages, the achievable accuracy of LBL systems is actually affected by different factors, mainly related with technical limits of the used instruments and with the level of knowledge of the physical characteristics of the acoustic medium. Another important element, possibly reducing the precision, concerns the way the LBL system is operated, and is related with the calibration of the acoustic array after its deployment on the sea bottom. Indeed if the positions of all the transponders are not perfectly known, errors in the localization procedure unavoidably arise. The paper specifically focuses on this last aspect and investigates the linkage existing between the error on the position of transponders and the resulting error in the localization procedure. A detailed theoretical analysis of the problem is proposed and for some basic transponders geometries a closed form relationship is obtained. Some simulations are finally reported to support the achieved results.
Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization
Sensors, 2020
Underwater acoustic localization is a useful technique applied to any military and civilian applications. Among the range-based underwater acoustic localization methods, the time difference of arrival (TDOA) has received much attention because it is easy to implement and relatively less affected by the underwater environment. This paper proposes a TDOA-based localization algorithm for an underwater acoustic sensor network using the maximum-likelihood (ML) ratio criterion. To relax the complexity of the proposed localization complexity, we construct an auxiliary function, and use the majorization-minimization (MM) algorithm to solve it. The proposed localization algorithm proposed in this paper is called a T-MM algorithm. T-MM is applying the MM algorithm to the TDOA acoustic-localization technique. As the MM algorithm iterations are sensitive to the initial points, a gradient-based initial point algorithm is used to set the initial points of the T-MM scheme. The proposed T-MM locali...