Loading...
Please wait, while we are loading the content...
Similar Documents
Low Effort Near Maximum Likelihood MIMO Detection with Optimum Hardware Resource Exploitation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chouayakh, Mohamed Knopp, Andreas Lankl, Berthold |
| Copyright Year | 2007 |
| Abstract | We propose a new approach to reach a near maximum likelihood (ML) MIMO detection performance with a strongly reduced computational effort. This method is based on a two-stage detection. In the first detection step a Zero-Forcing (ZF) equalizer is applied followed by a subsequent decision unit. The second step is a reduced-search (RS) algorithm over the ZF solution, which will be performed in an efficient way at the different transmitted data streams. The method provides a near ML performance while it demands a fixed computational effort which is extremely advantageous for the Hardware implementation of the detector. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.unibw.de/eit3_1/forschung/papers/veroeffentl2007/LowEffortML.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Best, worst and average case Computation Detectors Download Equalization (communications) Equalizer Device Component MIMO Profiling (computer programming) Zermelo–Fraenkel set theory Zero-forcing precoding disease transmission |
| Content Type | Text |
| Resource Type | Article |
