Probabilistic algorithms for blind adaptive multiuser detection
| Autor: | Antón Haro, Carles, Rodríguez Fonollosa, José Adrián|||0000-0001-9513-7939, Zvonar, Zoran, Rodríguez Fonollosa, Javier|||0000-0002-0136-2586 |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
| Jazyk: | angličtina |
| Rok vydání: | 1998 |
| Předmět: |
Signal processing
Acústica submarina Pseudonoise codes Acoustic signal detection Viterbi-based algorithm Experimental data Code division multiple access Spread spectrum communication Decision-directed adaptation scheme Enginyeria de la telecomunicació::Processament del senyal [Àrees temàtiques de la UPC] Adaptive signal detection Convolution Viterbi detection User signature estimation Estimated data sequences Processament del senyal Telecommunication channels Underwater acoustics DS-CDMA system Near-far resistance HMM Baum-Welch algorithm |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | In this paper, two probabilistic adaptive algorithms for jointly detecting active users in a DS-CDMA system are reported. The first one, which is based on the theory of hidden Markov models (HMM’s) and the Baum–Wech (BW) algorithm, is proposed within the CDMA scenario and compared with the second one, which is a previously developed Viterbi-based algorithm. Both techniques are completely blind in the sense that no knowledge of the signatures, channel state information, or training sequences is required for any user. Once convergence has been achieved, an estimate of the signature of each user convolved with its physical channel response (CR) and estimated data sequences are provided. This CR estimate can be used to switch to any decision-directed (DD) adaptation scheme. Performance of the algorithms is verified via simulations as well as on experimental data obtained in an underwater acoustics (UWA) environment. In both cases, performance is found to be highly satisfactory, showing the near–far resistance of the analyzed algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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