Abstract
Recently, MIMO spatial multiplexing systems have attracted a lot of attention because of their high spectral effiencies. In MIMO spatial multiplexing systems Maximum Likelihood Detection (MLD) is known as an optimal method for signal detection in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, we propose two reduced complexity signal detection schemes: one combines the minimum mean square error (MMSE) detection and MLD based on the estimated signal to interference plus noise ratio (SINR). The other combines the ordered successive MMSE detection (OSD) and MLD based on the estimated SINR. We refer to these detection schemes as MMSE-MLD and OSD-MLD, respectively. We show by simulation results that the proposed MMSE-MLD and OSD-MLD can attain almost identical performance to that of MLD with less complexity.
| Original language | English |
|---|---|
| Pages (from-to) | 1426-1430 |
| Number of pages | 5 |
| Journal | IEEE Vehicular Technology Conference |
| Volume | 60 |
| Issue number | 2 |
| Publication status | Published - 2004 Dec 1 |
| Externally published | Yes |
| Event | 2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States Duration: 2004 Sept 26 → 2004 Sept 29 |
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics