Name
Abstract | ||
|---|---|---|
This paper deals with joint data detection, synchronization and channel parameter estimation for direct-sequence code-division multiple-access systems over frequency-selective channels. In low-signal-to-noise ratio environments, conventional data-aided (DA) estimation algorithms may require an unacceptably large number of pilot symbols in order to obtain sufficiently accurate estimates of the channel and synchronization parameters. Especially, frequency offset estimation results in a significant loss in spectral efficiency. In this contribution, we consider several code-aided estimation schemes which can be incorporated in an iterative turbo detection scheme. We consider the expectation maximization algorithm, as well as the space alternating generalized expectation maximization algorithm as tools to develop code-aided estimation algorithms for a variety of scenarios. We pay special attention to the issue of computational complexity, and propose some complexity-reducing approximations. We show through computer simulations that the proposed code-aided estimation techniques considerably outperform their conventional DA counterparts. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/JSAC.2005.858898 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
conventional da counterpart,estimation result,parameter estimation,code-aided estimation scheme,generalized expectation maximization algorithm,code-aided estimation algorithm,expectation maximization algorithm,code-aided joint channel,proposed code-aided estimation technique,frequency-selective channel,estimation algorithm,computer simulation,spectral efficiency,em algorithm,synchronisation,frequency offset,signal to noise ratio,expectation maximization,turbo codes,maximum likelihood,approximation theory,code division multiple access,spread spectrum communication,computational complexity | Mathematical optimization,Synchronization,Computer science,Expectation–maximization algorithm,Turbo code,Frequency offset,Communication channel,Algorithm,Real-time computing,Spectral efficiency,Spread spectrum,Computational complexity theory | Journal |
Volume | Issue | ISSN |
24 | 1 | 0733-8716 |
Citations | PageRank | References |
1 | 0.36 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Guenach | 1 | 64 | 7.37 |
| F. Simoens | 2 | 64 | 5.90 |
| H. Wymeersch | 3 | 75 | 7.79 |
| M. Moeneclaey | 4 | 1471 | 274.44 |