Abstract
| Original language | English |
|---|---|
| Title of host publication | Conference record of 43rd asilomar conference on signals, systems & computers |
| Place of Publication | New York |
| Publisher | IEEE |
| Pages | 1380-1384 |
| Number of pages | 5 |
| ISBN (Print) | 9781424458257 |
| DOIs | |
| Publication status | Published - Nov 2009 |
| Event | 43rd Asilomar Conference on Signals, Systems, and Computer - Duration: 1 Jan 1900 → … |
Conference
| Conference | 43rd Asilomar Conference on Signals, Systems, and Computer |
|---|---|
| Period | 1/01/00 → … |
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Keywords
- signals
- space-time block coded
- probability density function
- In this paper, we propose a new blind adaptive technique
- stochastic gradient descent
- MIMO channel
- MIMO
Cite this
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Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting. / Daas, A.; Bendoukha, S.; Weiss, S.
Conference record of 43rd asilomar conference on signals, systems & computers. New York : IEEE, 2009. p. 1380-1384.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting
AU - Daas, A.
AU - Bendoukha, S.
AU - Weiss, S.
PY - 2009/11
Y1 - 2009/11
N2 - In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.
AB - In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.
KW - signals
KW - space-time block coded
KW - probability density function
KW - In this paper, we propose a new blind adaptive technique
KW - stochastic gradient descent
KW - MIMO channel
KW - MIMO
UR - http://www.asilomarssc.org/asil09/prog09/Asilomar2009_2pages.pdf
U2 - 10.1109/ACSSC.2009.5469878
DO - 10.1109/ACSSC.2009.5469878
M3 - Conference contribution book
SN - 9781424458257
SP - 1380
EP - 1384
BT - Conference record of 43rd asilomar conference on signals, systems & computers
PB - IEEE
CY - New York
ER -