A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain

Zhu, Yun; Liang, Shuang; Wu, Xiaojun; Yang, Honghong

doi:10.1631/fitee.2000209

Cited by 8 publications

(9 citation statements)

References 32 publications

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“…e trust score between learners cannot be obtained explicitly in the teaching platform. e intensity of information exchange and interaction between social network users can approximately reflect their trust relationship [15,16]. erefore, referring to the trusted sources of social networks, this study divides the trust relationship between platform learners into the following three aspects: learners trust people who have more contacts in the real world, such as relatives and friends; users have high trust in people with high prestige in the real world, such as celebrities; and users trust people who have similar social interest circles.…”

Section: Methodsmentioning

confidence: 99%

Assistant Teaching of Hurdle Technology Based on Mobile Communication Multimedia Technology and MVP Theory

Zhou

Zhang

et al. 2022

Mobile Information Systems

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In order to solve the problem that multimedia technology cannot give full play to its technical advantages, a method of assisted teaching in hurdle technology based on mobile communication multimedia and MVP theory is proposed. In this mode, the system adopts a layered structure design, which can reduce the coupling between modules, realize the reuse of platform business logic code, and improve the maintainability of the entire system. The average technical evaluation score of the experimental class was 89.28, and that of the control class was 80.64. Meanwhile, the standard deviation was lower than that of the control class. A lower standard deviation indicates that the sample data is less distributed and that the population value is closer to the mean. That is to say, the technical evaluation scores of the experimental class were generally in the middle, and there was a significant difference between the two classes ( P < 0.05 ). The results of the pilot study showed that with the aid of mobile communication multimedia teaching technology, students’ interest in preventing technology learning is increasing, verifying the validity of the experiment.

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Section: Methodsmentioning

confidence: 99%

Assistant Teaching of Hurdle Technology Based on Mobile Communication Multimedia Technology and MVP Theory

Zhou

Zhang

et al. 2022

Mobile Information Systems

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“…According to the theory of signal detection and estimation, for a given false alarm probability, it is difficult to give an accurate detection threshold. In practice, the detection threshold is generally determined by the method of numerical statistics (Li et al, 2011;Zhu et al, 2021). According to whether the selected amplitude frequency continuously exceeds the threshold in continuous time, the false alarm probability can then be reduced.…”

Section: Multi-auv Frequency Identificationmentioning

confidence: 99%

“…If a traditional array is used to detect AUVs, the detection distance means that a large underwater acoustic array would be required, making the detection cost very high. Coraluppi et al (2018); Lexa et al (2020); Zhu et al (2021), and Brinkmann and Hurka (2009) described the use of distributed multi-target tracking and passive sonar tracking with fixed and mobile sensors. Single -sensor narrowband and wideband measurements can be used for spatial tracking, and a distributed underwater monitoring network composed of a single hydrophone can reduce the detection costs considerably.…”

Section: Introductionmentioning

confidence: 99%

Motion parameter estimation of AUV based on underwater acoustic Doppler frequency measured by single hydrophone

Rong

Xu²

2022

Front. Mar. Sci.

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This paper describes the use of a single hydrophone to estimate the motion parameters of an autonomous underwater vehicle (AUV) from the underwater acoustic signal excited by its propulsion motor. First, the frequency range of the hydroacoustic signal radiated by the AUV motor is determined, and a detection and recognition model is designed. In the case of uniform linear motion of the AUV, the geometric relationship between the Doppler frequency shift curve of the sound source is derived and the motion model of the sound source and sound line propagation is established. An estimation algorithm for the motion parameters of multiple AUVs based on data from a single hydrophone is derived. Then, for Doppler underwater acoustic signals disturbed by independent identically distributed noise with an arbitrary probability distribution, a cumulative phase difference power amplification instantaneous frequency estimation method is proposed. This method is based on the sum of multiple logarithmic functions. Finally, the effectiveness and accuracy of the algorithm in estimating the motion parameters of multiple AUVs are verified through simulations and experiments.

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“…Another variant of JPDA named JPDA* [21] was developed based on the selective pruning, and the best data association hypothesis is chosen to calculate the measurement-to-target probabilities. There are also some methods [22][23][24] that attempt to improve the accuracy of the marginalization by optimizing the posterior density. In recent years, the random finite set (RFS) [25,26] based MTT algorithms have attracted a lot of attention [27].…”

Section: Introductionmentioning

confidence: 99%

Generalized Labeled Multi-Bernoulli Multi-Target Tracking with Doppler-Only Measurements

Zhu

Mallick²,

Liang

et al. 2022

Remote Sensing

Self Cite

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The paper addresses the problem of tracking multiple targets with Doppler-only measurements in multi-sensor systems. It is well known that the observability of the target state measured using Doppler-only measurements is very poor, which makes it difficult to initialize the tracking target and produce the target trajectory in any tracking algorithm. Within the framework of random finite sets, we propose a novel constrained admissible region (CAR) based birth model that instantiates the birth distribution using Doppler-only measurements. By combining physics-based constraints in the unobservable subspace of the state space, the CAR based birth model can effectively reduce the ambiguity of the initial state. The CAR based birth model combines physics-based constraints in the unobservable subspace of the state space to reduce the ambiguity of the initial state. We implement the CAR based birth model with the generalized labeled multi-Bernoulli tracking filter to demonstrate the effectiveness of our proposed algorithm in Doppler-only tracking. The performance of the proposed approach is tested in two simulation scenarios in terms of the optimal subpattern assignment (OSPA) error, OSPA(2) error, and computing efficiency. The simulation results demonstrate the superiority of the proposed approach. Compared to the approach taken by the state-of-the-art methods, the proposed approach can at most reduce the OSPA error by 58.77%, reduce the OSPA(2) error by 43.51%, and increase the computing efficiency by 9.56 times in the first scenario. In the second scenario, the OSPA error is reduced by 62.80%, the OSPA(2) error is reduced by 43.65%, and the computing efficiency is increased by 2.61 times at most.

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A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain

Cited by 8 publications

References 32 publications

Assistant Teaching of Hurdle Technology Based on Mobile Communication Multimedia Technology and MVP Theory

Assistant Teaching of Hurdle Technology Based on Mobile Communication Multimedia Technology and MVP Theory

Motion parameter estimation of AUV based on underwater acoustic Doppler frequency measured by single hydrophone

Generalized Labeled Multi-Bernoulli Multi-Target Tracking with Doppler-Only Measurements

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