Maximum likelihood data-aided phase estimation in CDMA communication systems with QPSK modulation

L. Schumacher; L. Vandendorpe

Maximum likelihood data-aided phase estimation in CDMA communication systems with QPSK modulation

Résultats de recherche: Contribution à un événement scientifique (non publié) › Article › Revue par des pairs

Résumé

In CDMA communication systems, the received signal is the sum of contributions from several active users. Instead of dealing with these users separately, in a parallel way, this paper introduces Maximum-Likelihood (ML) joint phase estimation for a Data-Aided (DA), QPSK-modulated scenario. Joint phase estimation is first defined by means of the ML method. Then, in a 2-user case, its performance is compared to that of the conventional single user technique considering their estimation errors. Closed forms of the errors are derived, their variances are computed and, finally, the resistance against a Near-Far situation is analyzed.

langue originale	Anglais
Pages	219-223
Nombre de pages	5
Etat de la publication	Publié - 1 déc. 1996
Modification externe	Oui
Evénement	Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4) - London, UK Durée: 18 nov. 1996 → 22 nov. 1996

Une conférence

Une conférence	Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4)
La ville	London, UK
période	18/11/96 → 22/11/96

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title = "Maximum likelihood data-aided phase estimation in CDMA communication systems with QPSK modulation",

abstract = "In CDMA communication systems, the received signal is the sum of contributions from several active users. Instead of dealing with these users separately, in a parallel way, this paper introduces Maximum-Likelihood (ML) joint phase estimation for a Data-Aided (DA), QPSK-modulated scenario. Joint phase estimation is first defined by means of the ML method. Then, in a 2-user case, its performance is compared to that of the conventional single user technique considering their estimation errors. Closed forms of the errors are derived, their variances are computed and, finally, the resistance against a Near-Far situation is analyzed.",

author = "L. Schumacher and L. Vandendorpe",

year = "1996",

month = dec,

day = "1",

language = "English",

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note = "Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4) ; Conference date: 18-11-1996 Through 22-11-1996",

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Maximum likelihood data-aided phase estimation in CDMA communication systems with QPSK modulation. / Schumacher, L.; Vandendorpe, L.
1996. 219-223 Papier présenté � Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4), London, UK.

Résultats de recherche: Contribution à un événement scientifique (non publié) › Article › Revue par des pairs

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N2 - In CDMA communication systems, the received signal is the sum of contributions from several active users. Instead of dealing with these users separately, in a parallel way, this paper introduces Maximum-Likelihood (ML) joint phase estimation for a Data-Aided (DA), QPSK-modulated scenario. Joint phase estimation is first defined by means of the ML method. Then, in a 2-user case, its performance is compared to that of the conventional single user technique considering their estimation errors. Closed forms of the errors are derived, their variances are computed and, finally, the resistance against a Near-Far situation is analyzed.

AB - In CDMA communication systems, the received signal is the sum of contributions from several active users. Instead of dealing with these users separately, in a parallel way, this paper introduces Maximum-Likelihood (ML) joint phase estimation for a Data-Aided (DA), QPSK-modulated scenario. Joint phase estimation is first defined by means of the ML method. Then, in a 2-user case, its performance is compared to that of the conventional single user technique considering their estimation errors. Closed forms of the errors are derived, their variances are computed and, finally, the resistance against a Near-Far situation is analyzed.

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T2 - Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4)

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Maximum likelihood data-aided phase estimation in CDMA communication systems with QPSK modulation

Résumé

Une conférence

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