Quickest detection of a random signal in background noise using a sensor array

Taragay Osklper; H. Vincent Poor

doi:10.1155/ASP.2005.13

Quickest detection of a random signal in background noise using a sensor array

Taragay Osklper, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

The problem of detecting the onset of a signal impinging at an unknown angle on a sensor array is considered. An algorithm based on parallel CUSUM tests matched to each of a set of discrete beamforming angles is proposed. Analytical approximations are developed for the mean time between false alarms, and for the detection delay of this algorithm. Simulations are included to verify the results of this analysis.

Original language	English (US)
Pages (from-to)	13-24
Number of pages	12
Journal	Eurasip Journal on Applied Signal Processing
Volume	2005
Issue number	1
DOIs	https://doi.org/10.1155/ASP.2005.13
State	Published - Jan 1 2005

All Science Journal Classification (ASJC) codes

Signal Processing
Hardware and Architecture
Electrical and Electronic Engineering

Keywords

Angle-of-arrival estimation
Quickest detection
Sensor array

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10.1155/ASP.2005.13

Cite this

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abstract = "The problem of detecting the onset of a signal impinging at an unknown angle on a sensor array is considered. An algorithm based on parallel CUSUM tests matched to each of a set of discrete beamforming angles is proposed. Analytical approximations are developed for the mean time between false alarms, and for the detection delay of this algorithm. Simulations are included to verify the results of this analysis.",

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AB - The problem of detecting the onset of a signal impinging at an unknown angle on a sensor array is considered. An algorithm based on parallel CUSUM tests matched to each of a set of discrete beamforming angles is proposed. Analytical approximations are developed for the mean time between false alarms, and for the detection delay of this algorithm. Simulations are included to verify the results of this analysis.

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Quickest detection of a random signal in background noise using a sensor array

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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