The study on tracking algorithm for the underwater target: Applying to noise limited bi-static sonar model

Son, Hyun Seung; Park, Jin Bae; Joo, Young Hoon

doi:10.1109/ascc.2013.6606260

Cited by 4 publications

(6 citation statements)

References 16 publications

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“…In [ 81 ], a bistatic system is used to obtain active measurements of the target. The transmitter sends the signal with the certain strength to the target, then the target reflects the signal to the receiver.…”

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

“…Other activated sensors only receiving echoes are called hydrophone nodes. Different from that the active source in [ 38 , 81 ] is stationary, the projector node in this paper serving as the active source can be changed with the trajectory of the target.…”

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

“…References [ 38 , 81 ] share in common that the active source is stationary. However, this will bring high tracking error owing to the severe propagation loss in an underwater environment, especially in the case that the target is far from the active source.…”

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

“…Traditional arithmetic average as previously mentioned is not applied to the time-varying system because the coefficient is same. In [ 81 ], a statistical estimation model named as Sage-Husa is employed to estimate the measured noise online. The Sage-Husa model estimates the measurement noise and process noise from the statistics of obtained measurements based on the concept that the new data should be attached more importance to while the old one should be weakened gradually.…”

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

See 3 more Smart Citations

Underwater Acoustic Target Tracking: A Review

Luo

Han

Fan

2018

Sensors

110

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Advances in acoustic technology and instrumentation now make it possible to explore marine resources. As a significant component of ocean exploration, underwater acoustic target tracking has aroused wide attention both in military and civil fields. Due to the complexity of the marine environment, numerous techniques have been proposed to obtain better tracking performance. In this paper, we survey over 100 papers ranging from innovative papers to the state-of-the-art in this field to present underwater tracking technologies. Not only the related knowledge of acoustic tracking instrument and tracking progress is clarified in detail, but also a novel taxonomy method is proposed. In this paper, algorithms for underwater acoustic target tracking are classified based on the methods used as: (1) instrument-assisted methods; (2) mode-based methods; (3) tracking optimization methods. These algorithms are compared and analyzed in the aspect of dimensions, numbers, and maneuvering of the tracking target, which is different from other survey papers. Meanwhile, challenges, countermeasures, and lessons learned are illustrated in this paper.

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Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

Section: Classification Underwater Acoustic Target Tracking Algorimentioning

confidence: 99%

See 2 more Smart Citations

Underwater Acoustic Target Tracking: A Review

Luo

Han

Fan

2018

Sensors

110

View full text Add to dashboard Cite

show abstract

“…To cope with the two limitations as mentioned above, the use of mono‐static sonar systems gave way to that of bi‐static systems, finally evolving into the use of multi‐static systems as technologies develop in the operational field, where we can dominate [1–5].…”

Section: Introductionmentioning

confidence: 99%