Name
Title | ||
|---|---|---|
Blind adaptive multiuser detection with probabilistic algorithms: application to underwater acoustics |
Abstract | ||
|---|---|---|
In this paper, two probabilistic adaptive algorithms for jointly detecting active users in a DS-CDMA system are compared. The first one, which is based on the theory of hidden Markov models (HMM) is proposed within the CDMA scenario and compared with the previously developed Viterbi-based algorithm. Both techniques are completely blind in the sense that no knowledge of the signature sequences, channel state information or training sequences is required for any user. After convergence, an estimate of the signature of each user convolved with its physical channel impulse response (CIR), and estimated data sequences are provided. This CIR estimate can then be used to switch to any decision-directed (DD) adaptation scheme. Performance of the algorithms is verified with simulations as well as with experimental data from an underwater acoustics (UWA) environment. In both cases, performance is found to be highly satisfactory, showing the near-far resistance of the analyzed algorithms |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICASSP.1997.604750 | Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference |
Keywords | Field | DocType |
acoustic signal detection,adaptive signal detection,code division multiple access,hidden Markov models,pseudonoise codes,spread spectrum communication,transient response,underwater sound,CIR estimate,DS-CDMA,blind adaptive multiuser detection,channel impulse response,convergence,decision-directed adaptation scheme,estimated data sequences,hidden Markov models,near-far resistance,performance,probabilistic adaptive algorithms,probabilistic algorithms,signature estimation,underwater acoustics | Pattern recognition,Computer science,Multiuser detection,Underwater acoustics,Probabilistic analysis of algorithms,Artificial intelligence,Adaptive algorithm,Probabilistic logic,Hidden Markov model,Viterbi algorithm,Channel state information | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 0-8186-7919-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carles Ant | 1 | 22 | 4.20 |
| Fonollosa, J.A.R. | 2 | 46 | 7.90 |
| Zoran Zvonar | 3 | 42 | 9.48 |
| Javier Rodriguez Fonollosa | 4 | 47 | 8.75 |