Robust Signal Detection Using Order Statistic Prefilters

Yong-Hwan LEE; Seung-Jun KIM

Robust Signal Detection Using Order Statistic Prefilters

Yong-Hwan LEE, Seung-Jun KIM

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We propose a robust detection scheme by employing an order statistic filter as a preprocessor of the input signal. For ease of design, the variance of the order statistic filtered output is modeled by proposing an approximate upper bound. The detector is analytically designed using a fixed sample size (FSS) test scheme. The performance of the proposed detector is compared to that of other robust detectors in terms of the sample size required for given false alarm and miss detection probabilities. Finally, analytical results are verified by computer simulation.

Publication: IEICE TRANSACTIONS on Communications Vol.E81-B No.3 pp.520-524

Publication Date: 1998/03/25

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Category: Switching and Communication Processing

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Yong-Hwan LEE, Seung-Jun KIM, "Robust Signal Detection Using Order Statistic Prefilters" in IEICE TRANSACTIONS on Communications, vol. E81-B, no. 3, pp. 520-524, March 1998, doi: .
Abstract: We propose a robust detection scheme by employing an order statistic filter as a preprocessor of the input signal. For ease of design, the variance of the order statistic filtered output is modeled by proposing an approximate upper bound. The detector is analytically designed using a fixed sample size (FSS) test scheme. The performance of the proposed detector is compared to that of other robust detectors in terms of the sample size required for given false alarm and miss detection probabilities. Finally, analytical results are verified by computer simulation.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e81-b_3_520/_p

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@ARTICLE{e81-b_3_520,
author={Yong-Hwan LEE, Seung-Jun KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust Signal Detection Using Order Statistic Prefilters},
year={1998},
volume={E81-B},
number={3},
pages={520-524},
abstract={We propose a robust detection scheme by employing an order statistic filter as a preprocessor of the input signal. For ease of design, the variance of the order statistic filtered output is modeled by proposing an approximate upper bound. The detector is analytically designed using a fixed sample size (FSS) test scheme. The performance of the proposed detector is compared to that of other robust detectors in terms of the sample size required for given false alarm and miss detection probabilities. Finally, analytical results are verified by computer simulation.},
keywords={},
doi={},
ISSN={},
month={March},}

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TY - JOUR
TI - Robust Signal Detection Using Order Statistic Prefilters
T2 - IEICE TRANSACTIONS on Communications
SP - 520
EP - 524
AU - Yong-Hwan LEE
AU - Seung-Jun KIM
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E81-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 1998
AB - We propose a robust detection scheme by employing an order statistic filter as a preprocessor of the input signal. For ease of design, the variance of the order statistic filtered output is modeled by proposing an approximate upper bound. The detector is analytically designed using a fixed sample size (FSS) test scheme. The performance of the proposed detector is compared to that of other robust detectors in terms of the sample size required for given false alarm and miss detection probabilities. Finally, analytical results are verified by computer simulation.
ER -