Two-step optimal subarray detection based on matched-field processing

Dezhi Kong; Chao Sun; Xionghou Liu; Xuan Shao; Lei Xie; Guangyu Jiang

doi:10.1109/OCEANSE.2017.8084944

Two-step optimal subarray detection based on matched-field processing

Dezhi Kong, Chao Sun, Xionghou Liu, Xuan Shao, Lei Xie, Guangyu Jiang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

3 Scopus citations

Abstract

The optimal detector based on matched-field processing with a large-aperture vertical linear array (VLA) suffers from the so called 'snapshot deficient problem', which leads to an inaccurate estimate of the noise covariance matrix and hence a degraded detection performance. In this paper, to improve the detection performance with deficient snapshots, a two-step sub-array detector (SAD) is proposed. Due to the reduction on the hydrophone number in the two-step processing, the proposed SAD improves the estimate of the noise covariance matrix. Thus, SAD has a better detection performance than the optimal full array detector (FAD) in a shallow-water correlated noise environment with short snapshots. Numerical simulation results demonstrate the effectiveness of the proposed SAD.

Original language	English
Title of host publication	OCEANS 2017 - Aberdeen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509052783
DOIs	https://doi.org/10.1109/OCEANSE.2017.8084944
State	Published - 25 Oct 2017
Event	OCEANS 2017 - Aberdeen - Aberdeen, United Kingdom Duration: 19 Jun 2017 → 22 Jun 2017

Publication series

Name	OCEANS 2017 - Aberdeen
Volume	2017-October

Conference

Conference	OCEANS 2017 - Aberdeen
Country/Territory	United Kingdom
City	Aberdeen
Period	19/06/17 → 22/06/17

Keywords

deficient snapshot
optimal processing
sub-array detection

Access to Document

10.1109/OCEANSE.2017.8084944

Cite this

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title = "Two-step optimal subarray detection based on matched-field processing",

abstract = "The optimal detector based on matched-field processing with a large-aperture vertical linear array (VLA) suffers from the so called 'snapshot deficient problem', which leads to an inaccurate estimate of the noise covariance matrix and hence a degraded detection performance. In this paper, to improve the detection performance with deficient snapshots, a two-step sub-array detector (SAD) is proposed. Due to the reduction on the hydrophone number in the two-step processing, the proposed SAD improves the estimate of the noise covariance matrix. Thus, SAD has a better detection performance than the optimal full array detector (FAD) in a shallow-water correlated noise environment with short snapshots. Numerical simulation results demonstrate the effectiveness of the proposed SAD.",

keywords = "deficient snapshot, optimal processing, sub-array detection",

author = "Dezhi Kong and Chao Sun and Xionghou Liu and Xuan Shao and Lei Xie and Guangyu Jiang",

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T1 - Two-step optimal subarray detection based on matched-field processing

AU - Kong, Dezhi

AU - Sun, Chao

AU - Liu, Xionghou

AU - Shao, Xuan

AU - Xie, Lei

AU - Jiang, Guangyu

PY - 2017/10/25

Y1 - 2017/10/25

N2 - The optimal detector based on matched-field processing with a large-aperture vertical linear array (VLA) suffers from the so called 'snapshot deficient problem', which leads to an inaccurate estimate of the noise covariance matrix and hence a degraded detection performance. In this paper, to improve the detection performance with deficient snapshots, a two-step sub-array detector (SAD) is proposed. Due to the reduction on the hydrophone number in the two-step processing, the proposed SAD improves the estimate of the noise covariance matrix. Thus, SAD has a better detection performance than the optimal full array detector (FAD) in a shallow-water correlated noise environment with short snapshots. Numerical simulation results demonstrate the effectiveness of the proposed SAD.

AB - The optimal detector based on matched-field processing with a large-aperture vertical linear array (VLA) suffers from the so called 'snapshot deficient problem', which leads to an inaccurate estimate of the noise covariance matrix and hence a degraded detection performance. In this paper, to improve the detection performance with deficient snapshots, a two-step sub-array detector (SAD) is proposed. Due to the reduction on the hydrophone number in the two-step processing, the proposed SAD improves the estimate of the noise covariance matrix. Thus, SAD has a better detection performance than the optimal full array detector (FAD) in a shallow-water correlated noise environment with short snapshots. Numerical simulation results demonstrate the effectiveness of the proposed SAD.

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KW - optimal processing

KW - sub-array detection

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Y2 - 19 June 2017 through 22 June 2017

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Two-step optimal subarray detection based on matched-field processing

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Keywords

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