| Paper: | SPCOM-L4.6 | ||
| Session: | (Semi)blind Techniques I | ||
| Time: | Thursday, May 20, 14:40 - 15:00 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing for Communications: Interference Suppression and Rejection | ||
| Title: | ADAPTIVE SECOND-ORDER ASYNCHRONOUS CCI CANCELLATION: MAXIMUM LIKELIHOOD BENCHMARK FOR REGULARIZED SEMI-BLIND TECHNIQUE | ||
| Authors: | Alexandr Kuzminskiy; Lucent Technologies | ||
| Yuri Abramovich; Defence Science & Technology Organisation (DSTO) | |||
| Abstract: | An asynchronous interference cancellation problem is addressed when the training and working intervals are available containing the desired signal and arbitrary overlapping interference. Likelihood ratio (LR) maximization approach for estimation of the structured correlation matrices over both training and working intervals is developed for the Gaussian data model and exploited to obtain a benchmark performance for ad-hoc estimators. A regularized second-order estimation of the antenna array coefficients is proposed, which employs the autocorrelation matrix estimation as a weighted sum of the autocorrelation matrices averaged over the training and working intervals. It is shown by means of simulation in a TDMA environment that the regularized semi-blind solution significantly outperforms the conventional estimators and demonstrates the performance close to the LR based benchmark. | ||
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