Average likelihood method for classification of CDMA

Alfredo Vega Irizarry; Adly Fam

doi:10.1109/MILCOM.2014.132

Average likelihood method for classification of CDMA

Alfredo Vega Irizarry
, Adly Fam

Department of Electrical Engineering

Air Force Research Laboratory

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

Abstract

A New algorithm for classifying Direct Sequence Code Division Multiple Access (DS-CDMA) signals in additive white Gaussian noise (AGWN) is proposed based on the average likelihood (AL) function. The AL is express in terms of the code length and the number of active users. These parameters constitute the hypothesis under test. While the AL function is expressed in an analytical form, the implementation requires knowledge on the spreading codes that acchive a low Total Squared Correlation (TSC) value. This complexity can be simplified by developing a hard decision scheme which only requires knowledge on matrices that achieve the lowest TSC. Our study cases include binary and multiclass classification using full loaded DS-CDMA with knowledge on the chip period. Code lengths of powers of 2 are used as a proof of concept.

Original language	English
Title of host publication	Proceedings - 2014 IEEE Military Communications Conference
Subtitle of host publication	Affordable Mission Success: Meeting the Challenge, MILCOM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	760-765
Number of pages	6
ISBN (Electronic)	9781479967704
DOIs	https://doi.org/10.1109/MILCOM.2014.132
State	Published - Nov 13 2014
Event	33rd Annual IEEE Military Communications Conference, MILCOM 2014 - Baltimore, United States Duration: Oct 6 2014 → Oct 8 2014

Publication series

Name	Proceedings - IEEE Military Communications Conference MILCOM

Conference

Conference	33rd Annual IEEE Military Communications Conference, MILCOM 2014
Country/Territory	United States
City	Baltimore
Period	10/6/14 → 10/8/14

Access to Document

10.1109/MILCOM.2014.132

Cite this

Irizarry, A. V., & Fam, A. (2014). Average likelihood method for classification of CDMA. In Proceedings - 2014 IEEE Military Communications Conference: Affordable Mission Success: Meeting the Challenge, MILCOM 2014 (pp. 760-765). Article 6956853 (Proceedings - IEEE Military Communications Conference MILCOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2014.132

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title = "Average likelihood method for classification of CDMA",

abstract = "A New algorithm for classifying Direct Sequence Code Division Multiple Access (DS-CDMA) signals in additive white Gaussian noise (AGWN) is proposed based on the average likelihood (AL) function. The AL is express in terms of the code length and the number of active users. These parameters constitute the hypothesis under test. While the AL function is expressed in an analytical form, the implementation requires knowledge on the spreading codes that acchive a low Total Squared Correlation (TSC) value. This complexity can be simplified by developing a hard decision scheme which only requires knowledge on matrices that achieve the lowest TSC. Our study cases include binary and multiclass classification using full loaded DS-CDMA with knowledge on the chip period. Code lengths of powers of 2 are used as a proof of concept.",

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year = "2014",

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doi = "10.1109/MILCOM.2014.132",

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Irizarry, AV & Fam, A 2014, Average likelihood method for classification of CDMA. in Proceedings - 2014 IEEE Military Communications Conference: Affordable Mission Success: Meeting the Challenge, MILCOM 2014., 6956853, Proceedings - IEEE Military Communications Conference MILCOM, Institute of Electrical and Electronics Engineers Inc., pp. 760-765, 33rd Annual IEEE Military Communications Conference, MILCOM 2014, Baltimore, United States, 10/6/14. https://doi.org/10.1109/MILCOM.2014.132

Average likelihood method for classification of CDMA. / Irizarry, Alfredo Vega; Fam, Adly.
Proceedings - 2014 IEEE Military Communications Conference: Affordable Mission Success: Meeting the Challenge, MILCOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 760-765 6956853 (Proceedings - IEEE Military Communications Conference MILCOM).

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

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N2 - A New algorithm for classifying Direct Sequence Code Division Multiple Access (DS-CDMA) signals in additive white Gaussian noise (AGWN) is proposed based on the average likelihood (AL) function. The AL is express in terms of the code length and the number of active users. These parameters constitute the hypothesis under test. While the AL function is expressed in an analytical form, the implementation requires knowledge on the spreading codes that acchive a low Total Squared Correlation (TSC) value. This complexity can be simplified by developing a hard decision scheme which only requires knowledge on matrices that achieve the lowest TSC. Our study cases include binary and multiclass classification using full loaded DS-CDMA with knowledge on the chip period. Code lengths of powers of 2 are used as a proof of concept.

AB - A New algorithm for classifying Direct Sequence Code Division Multiple Access (DS-CDMA) signals in additive white Gaussian noise (AGWN) is proposed based on the average likelihood (AL) function. The AL is express in terms of the code length and the number of active users. These parameters constitute the hypothesis under test. While the AL function is expressed in an analytical form, the implementation requires knowledge on the spreading codes that acchive a low Total Squared Correlation (TSC) value. This complexity can be simplified by developing a hard decision scheme which only requires knowledge on matrices that achieve the lowest TSC. Our study cases include binary and multiclass classification using full loaded DS-CDMA with knowledge on the chip period. Code lengths of powers of 2 are used as a proof of concept.

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Annual IEEE Military Communications Conference, MILCOM 2014

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Irizarry AV, Fam A. Average likelihood method for classification of CDMA. In Proceedings - 2014 IEEE Military Communications Conference: Affordable Mission Success: Meeting the Challenge, MILCOM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 760-765. 6956853. (Proceedings - IEEE Military Communications Conference MILCOM). doi: 10.1109/MILCOM.2014.132

Average likelihood method for classification of CDMA

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