A New Pilot-Signal based Space-Time Adaptive Algorithm

Nedelko Grbic; Sven Nordholm; Jörgen Nordberg; Ingvar Claesson

A New Pilot-Signal based Space-Time Adaptive Algorithm

Nedelko Grbic, Sven Nordholm, Jörgen Nordberg, Ingvar Claesson

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

In the application of adaptive antenna arrays to wireless communications, a known pilot signal sequence may be used for estimating the array response at the beginning of each data frame. This pilot sequence is usually very short and conventional training methods which estimate the array response, based solely on this training sequence, may incur large estimation errors. In this paper, we propose an online modiﬁed weighted recursive least squares type of training algorithm for estimating the optimal array response by exploiting information from the whole frame of the received signal. The beneﬁts of the proposed algorithm is that tracking of coherent noise and interference signals is substantially improved, and the overall performance is increased. Simulation results show that the proposed methodoﬀers substantialimprovementwhencompared to the conventional least squares method.

Originalspråk	engelska
Titel på värdpublikation	Proceedings of International Conference on Telecommunications : IEEE ICT 2001
Status	Published - 2001 feb.
Externt publicerad	Ja
Evenemang	IEEE International Conference on Telecommunications (ICT 2001) - Bucharest, Rumänien Varaktighet: 2001 juni 4 → 2001 juni 7

Konferens

Konferens	IEEE International Conference on Telecommunications (ICT 2001)
Land/Territorium	Rumänien
Ort	Bucharest
Period	2001/06/04 → 2001/06/07

Ämnesklassifikation (UKÄ)

Signalbehandling

Citera det här

@inproceedings{b2d81cbe5adf47dbb9e56c63a7bc7b81,

title = "A New Pilot-Signal based Space-Time Adaptive Algorithm",

abstract = "In the application of adaptive antenna arrays to wireless communications, a known pilot signal sequence may be used for estimating the array response at the beginning of each data frame. This pilot sequence is usually very short and conventional training methods which estimate the array response, based solely on this training sequence, may incur large estimation errors. In this paper, we propose an online modiﬁed weighted recursive least squares type of training algorithm for estimating the optimal array response by exploiting information from the whole frame of the received signal. The beneﬁts of the proposed algorithm is that tracking of coherent noise and interference signals is substantially improved, and the overall performance is increased. Simulation results show that the proposed methodoﬀers substantialimprovementwhencompared to the conventional least squares method.",

author = "Nedelko Grbic and Sven Nordholm and J{\"o}rgen Nordberg and Ingvar Claesson",

year = "2001",

month = feb,

language = "English",

isbn = "973-99995-1-4",

booktitle = "Proceedings of International Conference on Telecommunications : IEEE ICT 2001",

note = "IEEE International Conference on Telecommunications (ICT 2001) ; Conference date: 04-06-2001 Through 07-06-2001",

}

TY - GEN

T1 - A New Pilot-Signal based Space-Time Adaptive Algorithm

AU - Grbic, Nedelko

AU - Nordholm, Sven

AU - Nordberg, Jörgen

AU - Claesson, Ingvar

PY - 2001/2

Y1 - 2001/2

N2 - In the application of adaptive antenna arrays to wireless communications, a known pilot signal sequence may be used for estimating the array response at the beginning of each data frame. This pilot sequence is usually very short and conventional training methods which estimate the array response, based solely on this training sequence, may incur large estimation errors. In this paper, we propose an online modiﬁed weighted recursive least squares type of training algorithm for estimating the optimal array response by exploiting information from the whole frame of the received signal. The beneﬁts of the proposed algorithm is that tracking of coherent noise and interference signals is substantially improved, and the overall performance is increased. Simulation results show that the proposed methodoﬀers substantialimprovementwhencompared to the conventional least squares method.

AB - In the application of adaptive antenna arrays to wireless communications, a known pilot signal sequence may be used for estimating the array response at the beginning of each data frame. This pilot sequence is usually very short and conventional training methods which estimate the array response, based solely on this training sequence, may incur large estimation errors. In this paper, we propose an online modiﬁed weighted recursive least squares type of training algorithm for estimating the optimal array response by exploiting information from the whole frame of the received signal. The beneﬁts of the proposed algorithm is that tracking of coherent noise and interference signals is substantially improved, and the overall performance is increased. Simulation results show that the proposed methodoﬀers substantialimprovementwhencompared to the conventional least squares method.

M3 - Paper in conference proceeding

SN - 973-99995-1-4

BT - Proceedings of International Conference on Telecommunications : IEEE ICT 2001

T2 - IEEE International Conference on Telecommunications (ICT 2001)

Y2 - 4 June 2001 through 7 June 2001

ER -

A New Pilot-Signal based Space-Time Adaptive Algorithm

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Fingeravtryck

Citera det här