Detection and states estimation of multiple mobile targets in wireless sensor network

Changyin Sun; Peng Zhang; Qiuling Tang

doi:10.1109/ICCIIS.2010.51

Detection and states estimation of multiple mobile targets in wireless sensor network

Changyin Sun
, Peng Zhang
, Qiuling Tang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.

Original language	English
Title of host publication	Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010
Pages	147-151
Number of pages	5
DOIs	https://doi.org/10.1109/ICCIIS.2010.51
State	Published - 2010
Externally published	Yes
Event	2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010 - Nanning, Guangxi, China Duration: 13 Oct 2010 → 14 Oct 2010

Publication series

Name	Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010

Conference

Conference	2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010
Country/Territory	China
City	Nanning, Guangxi
Period	13/10/10 → 14/10/10

Keywords

Blind estimation
Differential evolution
Doppler
Multi-target

Access to Document

10.1109/ICCIIS.2010.51

Cite this

Sun, C., Zhang, P., & Tang, Q. (2010). Detection and states estimation of multiple mobile targets in wireless sensor network. In Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010 (pp. 147-151). Article 5629211 (Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010). https://doi.org/10.1109/ICCIIS.2010.51

Sun, Changyin ; Zhang, Peng ; Tang, Qiuling. / Detection and states estimation of multiple mobile targets in wireless sensor network. Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010. 2010. pp. 147-151 (Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010).

@inproceedings{603f3e7ea4aa44bdbcff84c068161bb5,

title = "Detection and states estimation of multiple mobile targets in wireless sensor network",

abstract = "By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.",

keywords = "Blind estimation, Differential evolution, Doppler, Multi-target",

author = "Changyin Sun and Peng Zhang and Qiuling Tang",

year = "2010",

doi = "10.1109/ICCIIS.2010.51",

language = "英语",

isbn = "9780769542607",

series = "Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010",

pages = "147--151",

booktitle = "Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010",

note = "2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010 ; Conference date: 13-10-2010 Through 14-10-2010",

}

Sun, C, Zhang, P & Tang, Q 2010, Detection and states estimation of multiple mobile targets in wireless sensor network. in Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010., 5629211, Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010, pp. 147-151, 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010, Nanning, Guangxi, China, 13/10/10. https://doi.org/10.1109/ICCIIS.2010.51

Detection and states estimation of multiple mobile targets in wireless sensor network. / Sun, Changyin; Zhang, Peng; Tang, Qiuling.
Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010. 2010. p. 147-151 5629211 (Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sun, Changyin

AU - Zhang, Peng

AU - Tang, Qiuling

PY - 2010

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N2 - By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.

AB - By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.

KW - Blind estimation

KW - Differential evolution

KW - Doppler

KW - Multi-target

UR - https://www.scopus.com/pages/publications/79951882937

U2 - 10.1109/ICCIIS.2010.51

DO - 10.1109/ICCIIS.2010.51

M3 - 会议稿件

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SN - 9780769542607

T3 - Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010

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BT - Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010

T2 - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010

Y2 - 13 October 2010 through 14 October 2010

ER -

Sun C, Zhang P, Tang Q. Detection and states estimation of multiple mobile targets in wireless sensor network. In Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010. 2010. p. 147-151. 5629211. (Proceedings - 2010 International Conference on Communications and Intelligence Information Security, ICCIIS 2010). doi: 10.1109/ICCIIS.2010.51

Detection and states estimation of multiple mobile targets in wireless sensor network

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