A Cramér-Rao Lower Bound Derivation for Passive Sonar Track-Before-Detect Algorithms

Northardt, Tom

doi:10.1109/tit.2020.3013991

Cited by 14 publications

(6 citation statements)

References 13 publications

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“…However, the low propagation speed of sound waves will cause high latency because the sound velocity of underwater acoustic communication is about 1500m/s, five orders of magnitude lower than radio signals [6]. Moreover, the available bandwidth of the underwater channel is usually less than 15kHz, and the transmitted information is limited [7], causing significant difficulties for underwater acoustic communication. Besides, UASN needs to cover a large area of the ocean, which leads to the sparseness of node deployment.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

et al. 2023

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In recent years, Underwater Acoustic Sensor Networks (UASNs) have gained considerable attention for their unique role in detecting and monitoring the underwater environment. However, due to the long propagation time, high bit error rate, and limited bandwidth of underwater acoustic systems, the design of media access control (MAC) protocols is extremely complex, especially for the power consumption of UASNs. Therefore, this paper proposes an energy-efficient MAC protocol for three-dimensional UASNs with time synchronization and power control (TDTSPC-MAC). The proposed protocol is a hybrid access scheme for three-dimensional UASN using techniques such as time synchronization, power control, clustering, layering, and sleep mechanisms. Moreover, the TDTSPC-MAC protocol uses the hierarchical concept and distributed clustering algorithm to divide the three-dimensional space, and combines time synchronization and power control strategies to avoid collisions. Besides, energy consumption is reduced through monitoring and sleep mode. Simulation results demonstrate that the proposed TDTSPC-MAC protocol has reasonable data transmission delay time, throughput, energy consumption, and other performance.

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Section: Introductionmentioning

confidence: 99%

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

et al. 2023

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“…Two kinds of tracking mechanisms can be applied to underwater target tracking scenarios, namely, active tracking [ 3 , 4 ] and passive tracking [ 5 , 6 , 7 ]. By utilizing the active sonar systems mounted on facility platforms (usually ship-borne or shore-based platforms), the active tracking system can track an underwater target with high precision in terms of both angle information and range information.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Two-Step Bearing-Only Underwater Uncooperative Target Tracking with Uncertain Underwater Disturbances

Hou

Zhou

Yang

et al. 2021

Entropy

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The bearing-only tracking of an underwater uncooperative target can protect maritime territories and allows for the utilization of sea resources. Considering the influences of an unknown underwater environment, this work aimed to estimate 2-D locations and velocities of an underwater target with uncertain underwater disturbances. In this paper, an adaptive two-step bearing-only underwater uncooperative target tracking filter (ATSF) for uncertain underwater disturbances is proposed. Considering the nonlinearities of the target’s kinematics and the bearing-only measurements, in addition to the uncertain noise caused by an unknown underwater environment, the proposed ATSF consists of two major components, namely, an online noise estimator and a robust extended two-step filter. First, using a modified Sage-Husa online noise estimator, the uncertain process and measurement noise are estimated at each tracking step. Then, by adopting an extended state and by using a robust negative matrix-correcting method in conjunction with a regularized Newton-Gauss iteration scheme, the current state of the underwater uncooperative target is estimated. Finally, the proposed ATSF was tested via simulations of a 2-D underwater uncooperative target tracking scenario. The Monte Carlo simulation results demonstrated the reliability and accuracy of the proposed ATSF in bearing-only underwater uncooperative tracking missions.

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“…There are two kinds of underwater target tracking systems, namely the passive underwater target tracking system [3][4][5] and the active underwater target tracking system [6,7]. The active target tracking system usually utilises the active signal sent from the sonar platforms to detect and track an underwater target actively.…”

Section: Introductionmentioning

confidence: 99%

Bearing‐only underwater uncooperative target tracking for non‐Gaussian environment using fast particle filter

Hou

Yang

et al. 2021

IET Radar Sonar & Navi

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Bearing‐only tracking of an underwater uncooperative target is essential to defend the sea territory. Considering the influences by uncertain underwater environment, the purpose of this work is to estimate 2‐D locations and velocities of an interested underwater target for non‐Gaussian environment. In this work, a fast particle filter (FPF) based on the traditional particle filter (PF) with novel jet transport (JT) technique is proposed to deal with this problem. Aiming to overcome the heavy computation burden of the traditional PF that limits most of its practical applications, the JT technique can dramatically reduce the computation time and complexity in the particle evolution process, which contributes huge computational complexities to the traditional PF. Then, the proposed FPF is tested through simulations in the 2‐D underwater uncooperative target tracking scenario. Finally, the Monte Carlo simulation results demonstrate that the proposed FPF can track the underwater uncooperative target with the similar accuracies as the traditional PF but only occupies less than 20% of the computational resources.

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A Cramér-Rao Lower Bound Derivation for Passive Sonar Track-Before-Detect Algorithms

Cited by 14 publications

References 13 publications

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

Adaptive Two-Step Bearing-Only Underwater Uncooperative Target Tracking with Uncertain Underwater Disturbances

Bearing‐only underwater uncooperative target tracking for non‐Gaussian environment using fast particle filter

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