Abstract
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.
| Original language | English |
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| 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 |
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| Period | 1/01/00 → … |
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