Performance comparison of target localization for active sonar systems

Kim, Suhwan; Ku, Bonhwa; Hong, Wooyoung; Ko, Hanseok

doi:10.1109/taes.2008.4667715

Cited by 56 publications

(24 citation statements)

References 3 publications

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“…However, it is possible to overcome these noisy environment and estimate the components of the active signal with a significant signal gain, which is a common practice in many researches. Actually many researches assume a 2-D planar condition under clear detection of the active signal [5], [6], [8], [9]. Our estimation algorithm also has the same assumption.…”

Section: Introductionmentioning

confidence: 99%

Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Non-cooperative Bistatic Sonar

et al. 2012

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Bistatic sonar operations on modern submarines are classified into cooperative and non-cooperative operations. In the cooperative operation, an active signal of a friendly ship is used and the source information is known a priori. In the non-cooperative operation, an active signal of the enemy is used, which makes it difficult to acquire the source information. The source information consists of the range, speed, course, and frequency of ping, which gives advantage to operating bistatic sonar. This paper suggests a novel method of estimating the source information with geographic information in the sea and the single-ping of the enemy. The source range is given using one geographic point. The source speed, course, and the frequency of the enemy's source signal are given using two geographic points. The performance of the proposed method is validated through simulation studies.

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Section: Introductionmentioning

confidence: 99%

Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Non-cooperative Bistatic Sonar

et al. 2012

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“…However, new stealth technologies present challenges to detection, as the targets are increasingly becoming invisible. To illuminate invisible targets, active sensor networks are often deployed in the form of multi-static configurations wherein multiple receivers are pinged by an active source [4,5,6,7,8,9,10,11,12,13]. …”

Section: Introductionmentioning

confidence: 99%

Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information

Shin

Nelson

et al. 2018

Sensors

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This paper focuses on underwater target tracking based on a multi-static sonar network composed of passive sonobuoys and an active ping. In the multi-static sonar network, the location of the target can be estimated using TDOA (Time Difference of Arrival) measurements. However, since the sensor network may obtain insufficient and inaccurate TDOA measurements due to ambient noise and other harsh underwater conditions, target tracking performance can be significantly degraded. We propose a robust target tracking algorithm designed to operate in such a scenario. First, track management with track splitting is applied to reduce performance degradation caused by insufficient measurements. Second, a target location is estimated by a fusion of multiple TDOA measurements using a Gaussian Mixture Model (GMM). In addition, the target trajectory is refined by conducting a stack-based data association method based on multiple-frames measurements in order to more accurately estimate target trajectory. The effectiveness of the proposed method is verified through simulations.

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“…In the conventional literature, the target localization performance was evaluated by considering only the sonar's geometric configuration. [9][10][11][12][13][14][15][16][17][18] The performance of the target localization is affected by the following four parameters depending on the accuracy of the information: source and receiver locations, sound velocity, and separation angle. The angle subtended between the 1 Firstec, Changwon, Korea 2 Agency for Defense Development, Jinhae, Korea 3 School of Electronics Engineering, Kyungpook National University, Daegu, Korea source, receiver, and target is called the separation angle.…”

Section: Introductionmentioning

confidence: 99%

Robust localization using geographic information in bistatic sonar

Lee¹,

Jeong

Kim

et al. 2017

International Journal of Distributed Sensor Networks

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This article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. The accuracy of those three types of information greatly influences the performance of the target localization in bistatic sonar. Although the locations of the source and receiver can be obtained using the global positioning system, there are still some position errors due to the limitations of global positioning system-based positioning systems and tidal current. In addition, the speed of the sound in the sea changes with temperature. The target estimation error was analyzed mathematically in terms of the mentioned errors. An improved localization is proposed using the accurate positions of objects in the sea, which can compensate for the errors in the source position, receiver position, and sound speed. The proposed algorithm is compared with the conventional algorithm through computer simulations.

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Performance comparison of target localization for active sonar systems

Cited by 56 publications

References 3 publications

Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Non-cooperative Bistatic Sonar

Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Non-cooperative Bistatic Sonar

Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information

Robust localization using geographic information in bistatic sonar

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