Name
Title | ||
|---|---|---|
Low-complexity multiuser detection and reduced-rank Wiener filters for ultra-wideband multiple access |
Abstract | ||
|---|---|---|
Realizing the large user capacity planned for ultra-wideband (UWB) systems motivates multiuser detection (MUD). However, it is impractical to implement conventional chip-rate MUD methods, because UWB signaling gives rise to high detection complexity and difficulty in capturing energy scattered by dense multipath. In this paper, we develop a reception model for UWB multiple access based on frame-rate sampled signals in lieu of chip-rate samples. This model enables low-complexity MUD, of which we examine a reduced-rank Wiener filter for blind symbol detection. We show that frame-rate UWB samples have a small number of distinct eigenvalues in the data covariance matrix, resulting in warp convergence of reduced-rank filtering. The proposed MUD method exhibits good performance at low complexity, even in the presence of strong frequency-selective multipath fading. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICASSP.2005.1415786 | ICASSP (3) |
Keywords | Field | DocType |
user capacity,warp convergence,data covariance matrix,frame-rate sampled signals,distinct eigenvalues,dense multipath scattered energy,chip-rate mud methods,reception model,fading channels,low-complexity multiuser detection,communication complexity,reduced-rank wiener filters,multipath channels,ultra wideband communication,multi-access systems,wiener filters,reduced-rank wiener filter,frame-rate uwb samples,convergence,ultra-wideband multiple access,detection complexity,chip-rate samples,uwb signaling,uwb multiple access,multiuser detection,ultrawideband systems,low-complexity mud,frequency-selective multipath fading,blind symbol detection,multipath fading,chip,scattering,ultra wideband,wiener filter,eigenvalues,filtering,covariance matrix,frequency | Convergence (routing),Multipath propagation,Telecommunications,Computer science,Multiuser detection,Ultra-wideband,Artificial intelligence,Wiener filter,Pattern recognition,Filter (signal processing),Algorithm,Communication complexity,Covariance matrix | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 0-7803-8874-7 |
Citations | PageRank | References |
13 | 0.74 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Tian | 1 | 1195 | 80.41 |
| Hongya Ge | 2 | 64 | 13.99 |
| Louis L. Scharf | 3 | 2525 | 414.45 |