Detection of weak transient signals using a broadband subspace approach

Stephan Weiss; Connor Delaosa; James Matthews; Ian K. Proudler; Ben A. Jackson

doi:10.1109/SSPD51364.2021.9541472

Detection of weak transient signals using a broadband subspace approach

Stephan Weiss, Connor Delaosa, James Matthews, Ian K. Proudler, Ben A. Jackson

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

12 Citations (Scopus)

58 Downloads (Pure)

Abstract

We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. The energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.

Original language	English
Title of host publication	2021 Sensor Signal Processing for Defence Conference (SSPD)
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781665433150
DOIs	https://doi.org/10.1109/SSPD51364.2021.9541472
Publication status	Published - 15 Sept 2021
Event	International Conference in Sensor Signal Processing for Defence: from Sensor to Decision - Edinburgh, United Kingdom Duration: 14 Sept 2021 → 15 Sept 2021 Conference number: 10 https://sspd.eng.ed.ac.uk

Conference

Conference	International Conference in Sensor Signal Processing for Defence
Abbreviated title	SSPD
Country/Territory	United Kingdom
City	Edinburgh
Period	14/09/21 → 15/09/21
Internet address	https://sspd.eng.ed.ac.uk

Keywords

detection
weak transient signals
broadband
subspace

Access to Document

10.1109/SSPD51364.2021.9541472

Weiss-etal-SSPD-2021-Detection-of-weak-transient-signals-using-a-broadband-subspace-approachAccepted author manuscript, 219 KB

Cite this

@inproceedings{00344205c79c4dc1be8e9568af6f61d3,

title = "Detection of weak transient signals using a broadband subspace approach",

abstract = "We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. The energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.",

keywords = "detection, weak transient signals, broadband, subspace",

author = "Stephan Weiss and Connor Delaosa and James Matthews and Proudler, {Ian K.} and Jackson, {Ben A.}",

year = "2021",

month = sep,

day = "15",

doi = "10.1109/SSPD51364.2021.9541472",

language = "English",

isbn = "9781665433150",

booktitle = "2021 Sensor Signal Processing for Defence Conference (SSPD)",

publisher = "IEEE",

note = "International Conference in Sensor Signal Processing for Defence : from Sensor to Decision, SSPD ; Conference date: 14-09-2021 Through 15-09-2021",

url = "https://sspd.eng.ed.ac.uk",

}

Weiss, S, Delaosa, C, Matthews, J, Proudler, IK & Jackson, BA 2021, Detection of weak transient signals using a broadband subspace approach. in 2021 Sensor Signal Processing for Defence Conference (SSPD)., 9541472, IEEE, Piscataway, NJ., International Conference in Sensor Signal Processing for Defence, Edinburgh, United Kingdom, 14/09/21. https://doi.org/10.1109/SSPD51364.2021.9541472

TY - GEN

T1 - Detection of weak transient signals using a broadband subspace approach

AU - Weiss, Stephan

AU - Delaosa, Connor

AU - Matthews, James

AU - Proudler, Ian K.

AU - Jackson, Ben A.

N1 - Conference code: 10

PY - 2021/9/15

Y1 - 2021/9/15

N2 - We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. The energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.

AB - We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the data's space-time covariance matrix. The energy in this projected 'syndrome' vector is more discriminative towards the presence or absence of a transient signal than the original data, and can be enhanced by temporal averaging. We investigate the statistics, and indicate in simulations how discrimination can be traded off with the time to reach a decision, as well as with the sample size over which the space-time covariance is estimated.

KW - detection

KW - weak transient signals

KW - broadband

KW - subspace

UR - https://sspd.eng.ed.ac.uk/

U2 - 10.1109/SSPD51364.2021.9541472

DO - 10.1109/SSPD51364.2021.9541472

M3 - Conference contribution book

SN - 9781665433150

BT - 2021 Sensor Signal Processing for Defence Conference (SSPD)

PB - IEEE

CY - Piscataway, NJ.

T2 - International Conference in Sensor Signal Processing for Defence

Y2 - 14 September 2021 through 15 September 2021

ER -

Detection of weak transient signals using a broadband subspace approach

Abstract

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Signal Processing in the Information Age (UDRC III)

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Detection of weak transient signals using a broadband subspace approach

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

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Signal Processing in the Information Age (UDRC III)

Cite this