Subspace method for separating cochannel TDMA signals

Rajiv Chandrasekaran, Kuei-Chiang Lai, John J. Shynk

Research output: Contribution to journalArticle

Abstract

In this paper, we describe an adaptive algorithm that uses a subspace method for separating cochannel time-division multiple-access (TDMA) signals impinging on an antenna array. A frame synchronization algorithm is initially employed to identify the cochannel scenario. The adaptive algorithm uses a subspace decomposition of the array signals to constrain the beamformer weights for the signal of interest to be in a specific subspace. This subspace corresponds to the orthogonal complement of the subspace spanned by the direction vectors of the interferers. A follow-on linear equalizer removes the intersymbol interference (ISI) introduced by the transmit filter.

Original languageEnglish
Pages (from-to)2853-2856
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
Publication statusPublished - 1999

Fingerprint

time division multiple access
Time division multiple access
Adaptive algorithms
Intersymbol interference
Equalizers
Antenna arrays
Synchronization
antenna arrays
Decomposition
complement
synchronism
interference
decomposition
filters

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

@article{c882c3c2a64b4b8da142b4779527d77a,
title = "Subspace method for separating cochannel TDMA signals",
abstract = "In this paper, we describe an adaptive algorithm that uses a subspace method for separating cochannel time-division multiple-access (TDMA) signals impinging on an antenna array. A frame synchronization algorithm is initially employed to identify the cochannel scenario. The adaptive algorithm uses a subspace decomposition of the array signals to constrain the beamformer weights for the signal of interest to be in a specific subspace. This subspace corresponds to the orthogonal complement of the subspace spanned by the direction vectors of the interferers. A follow-on linear equalizer removes the intersymbol interference (ISI) introduced by the transmit filter.",
author = "Rajiv Chandrasekaran and Kuei-Chiang Lai and Shynk, {John J.}",
year = "1999",
language = "English",
volume = "5",
pages = "2853--2856",
journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
issn = "0736-7791",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Subspace method for separating cochannel TDMA signals. / Chandrasekaran, Rajiv; Lai, Kuei-Chiang; Shynk, John J.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 5, 1999, p. 2853-2856.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Subspace method for separating cochannel TDMA signals

AU - Chandrasekaran, Rajiv

AU - Lai, Kuei-Chiang

AU - Shynk, John J.

PY - 1999

Y1 - 1999

N2 - In this paper, we describe an adaptive algorithm that uses a subspace method for separating cochannel time-division multiple-access (TDMA) signals impinging on an antenna array. A frame synchronization algorithm is initially employed to identify the cochannel scenario. The adaptive algorithm uses a subspace decomposition of the array signals to constrain the beamformer weights for the signal of interest to be in a specific subspace. This subspace corresponds to the orthogonal complement of the subspace spanned by the direction vectors of the interferers. A follow-on linear equalizer removes the intersymbol interference (ISI) introduced by the transmit filter.

AB - In this paper, we describe an adaptive algorithm that uses a subspace method for separating cochannel time-division multiple-access (TDMA) signals impinging on an antenna array. A frame synchronization algorithm is initially employed to identify the cochannel scenario. The adaptive algorithm uses a subspace decomposition of the array signals to constrain the beamformer weights for the signal of interest to be in a specific subspace. This subspace corresponds to the orthogonal complement of the subspace spanned by the direction vectors of the interferers. A follow-on linear equalizer removes the intersymbol interference (ISI) introduced by the transmit filter.

UR - http://www.scopus.com/inward/record.url?scp=0032654510&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032654510&partnerID=8YFLogxK

M3 - Article

VL - 5

SP - 2853

EP - 2856

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SN - 0736-7791

ER -