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

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

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.

Original language	English
Title of host publication	Proceedings of International Conference on Telecommunications : IEEE ICT 2001
Publication status	Published - 2001 Feb
Externally published	Yes
Event	IEEE International Conference on Telecommunications (ICT 2001) - Bucharest, Romania Duration: 2001 Jun 4 → 2001 Jun 7

Conference

Conference	IEEE International Conference on Telecommunications (ICT 2001)
Country/Territory	Romania
City	Bucharest
Period	2001/06/04 → 2001/06/07

Subject classification (UKÄ)

Signal Processing

Cite this

@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

Abstract

Conference

Subject classification (UKÄ)

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Cite this