Detection in reverberation using space time adaptive prewhiteners

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Standard

Detection in reverberation using space time adaptive prewhiteners. / Li, Wei; Ma, Xiaochuan; Zhu, Yun; Yang, Jun; Hou, Chaohuan.

I: Journal of the Acoustical Society of America, Bind 124, Nr. 4, 2008, s. EL236-EL242.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Li, W, Ma, X, Zhu, Y, Yang, J & Hou, C 2008, 'Detection in reverberation using space time adaptive prewhiteners', Journal of the Acoustical Society of America, bind 124, nr. 4, s. EL236-EL242. https://doi.org/10.1121/1.2963187

APA

Li, W., Ma, X., Zhu, Y., Yang, J., & Hou, C. (2008). Detection in reverberation using space time adaptive prewhiteners. Journal of the Acoustical Society of America, 124(4), EL236-EL242. https://doi.org/10.1121/1.2963187

Vancouver

Li W, Ma X, Zhu Y, Yang J, Hou C. Detection in reverberation using space time adaptive prewhiteners. Journal of the Acoustical Society of America. 2008;124(4):EL236-EL242. https://doi.org/10.1121/1.2963187

Author

Li, Wei ; Ma, Xiaochuan ; Zhu, Yun ; Yang, Jun ; Hou, Chaohuan. / Detection in reverberation using space time adaptive prewhiteners. I: Journal of the Acoustical Society of America. 2008 ; Bind 124, Nr. 4. s. EL236-EL242.

Bibtex

@article{4fb8da168f684b1397bc43981c2b8e71,
title = "Detection in reverberation using space time adaptive prewhiteners",
abstract = "A major problem in moving platform active sonar systems is the detection of targets in spatially distributed and Doppler-spread reverberation. This paper presents a novel space time adaptive prewhitener for reverberation based on a two-dimensional autoregressive model. The space time adaptive prewhitener jointly processes received data in angle and Doppler to improve the separation of a target from reverberation. The detector using the space time adaptive prewhitener is shown to yield better detection performance than previously known schemes when operating in a reverberation background containing target echoes.",
author = "Wei Li and Xiaochuan Ma and Yun Zhu and Jun Yang and Chaohuan Hou",
year = "2008",
doi = "10.1121/1.2963187",
language = "English",
volume = "124",
pages = "EL236--EL242",
journal = "Acoustical Society of America. Journal",
issn = "0001-4966",
publisher = "A I P Publishing LLC",
number = "4",

}

RIS

TY - JOUR

T1 - Detection in reverberation using space time adaptive prewhiteners

AU - Li, Wei

AU - Ma, Xiaochuan

AU - Zhu, Yun

AU - Yang, Jun

AU - Hou, Chaohuan

PY - 2008

Y1 - 2008

N2 - A major problem in moving platform active sonar systems is the detection of targets in spatially distributed and Doppler-spread reverberation. This paper presents a novel space time adaptive prewhitener for reverberation based on a two-dimensional autoregressive model. The space time adaptive prewhitener jointly processes received data in angle and Doppler to improve the separation of a target from reverberation. The detector using the space time adaptive prewhitener is shown to yield better detection performance than previously known schemes when operating in a reverberation background containing target echoes.

AB - A major problem in moving platform active sonar systems is the detection of targets in spatially distributed and Doppler-spread reverberation. This paper presents a novel space time adaptive prewhitener for reverberation based on a two-dimensional autoregressive model. The space time adaptive prewhitener jointly processes received data in angle and Doppler to improve the separation of a target from reverberation. The detector using the space time adaptive prewhitener is shown to yield better detection performance than previously known schemes when operating in a reverberation background containing target echoes.

UR - http://www.scopus.com/inward/record.url?scp=53949110797&partnerID=8YFLogxK

U2 - 10.1121/1.2963187

DO - 10.1121/1.2963187

M3 - Journal article

C2 - 19062792

AN - SCOPUS:53949110797

VL - 124

SP - EL236-EL242

JO - Acoustical Society of America. Journal

JF - Acoustical Society of America. Journal

SN - 0001-4966

IS - 4

ER -

ID: 362749260