Joint Target Tracking and Classification with Heterogeneous Sensors

Quan, Hongwei; Xue, Anke; Peng, Dongliang

doi:10.5755/j01.eee.120.4.1454

Cited by 3 publications

(2 citation statements)

References 7 publications

(7 reference statements)

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“…The other approach called probabilistic data association filter (PDAF) [2], [3] and its developed version to multiple targets, joint PDAF (JPDAF) [2], solve the same data association problem in a simpler way. In the JPDAF, hypotheses are constituted for the measurements and targets only for the current scan.…”

Section: Introductionmentioning

confidence: 99%

Incorporation of Neural Network to HPMHT for Tracking Multiple Targets

Turkmen

Çelik

2015

ElAEE

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In this paper, a hybrid method which combines homothetic multi-hypothesis tracker (HPMHT) and artificial neural networks (ANNs) is presented to solve multiple target tracking problem. The performances of the proposed neural network aided homothetic multi-hypothesis tracker (NNAHPMHT) and the HPMHT are compared for two different test scenarios. It was observed that the estimation performances obtained from the NNAHPMHT are better than those obtained from only the HPMHT. The NNAHPMHT method doesn't require additional complex modeling for tracking multiple targets. The additional implementation time originated from NNAHPMHT is only recall time of the ANN. For this reason, the proposed method is very suitable for realtime implementation.

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Section: Introductionmentioning

confidence: 99%

Incorporation of Neural Network to HPMHT for Tracking Multiple Targets

Turkmen

Çelik

2015

ElAEE

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“…A distributed wireless sensor network (WSN) is a set of line.sensors scattered on a given area, which functionality sensors scattered on a given area, which functionality must not only be limited to merely sensing capabilities but they are also expected to have a transceiver module and a powersupply source (most often -a battery). Its main purpose is to gather information from that area and transport it, via Manuscript received December 29, 2012; accepted May 5, 2013. multihop transmissions, to an end-device (a sink) where it will be subject to storage and processing [1]- [3]. Such a procedure requires considerable traffic to be carried by intermediate nodes, which exploit their already limited (i.e.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Sink Nodes Number Estimation for Improving the Energetic Efficiency in Wireless Sensor Networks

Staniec¹,

Debita²

2013

ElAEE

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The paper is dedicated to the issue of reducing the energetic consumption by nodes of a wireless sensor network, by means of deliberately choosing an optimal number of sink nodes in the network. It is shown that an optimal choice of the sink may halve the total number of hops needed for the information from each node to reach it, relative to the sink of the worst choice. Similar research performed on networks with multiple sinks has led to the formulation of a concise formula which allows calculating an optimal number of sinks in an Npopulated WSN such that a trade-off is met between the energetic and economical savings.

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IMM-UKF based airborne radar and ESM data fusion for target tracking

Zuo

Liu³

et al. 2019

2019 14th IEEE International Conference on Electronic Measurement &Amp; Instruments (ICEMI)

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Joint Target Tracking and Classification with Heterogeneous Sensors

Cited by 3 publications

References 7 publications

Incorporation of Neural Network to HPMHT for Tracking Multiple Targets

Incorporation of Neural Network to HPMHT for Tracking Multiple Targets

An Optimal Sink Nodes Number Estimation for Improving the Energetic Efficiency in Wireless Sensor Networks

IMM-UKF based airborne radar and ESM data fusion for target tracking

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