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|Title:||Novel diversity combining in OFDM-based MIMO systems||Authors:||Daba, Jihad S.
Abdul-Latif, Omar M.
|Affiliations:||Department of Electrical Engineering||Keywords:||Co-channel interference
Equal gain combining
Maximum ratio combining
Multiple-input multiple-output channels
Root-mean-square gain combining
Support Vector Machine (SVM)
|Issue Date:||2008||Publisher:||WSEAS Press||Part of:||Proceedings of the American Conference on Applied Mathematics||Start page:||189||End page:||194||Conference:||American Conference on Applied Mathematics (24-26 March 2008 : Harvard University, Cambridge, MA, USA)||Abstract:||
In this paper, we investigate the performance of a novel diversity combining technique, termed root-mean-square diversity combining (RMSGC), for OFDM transmission over flat Rayleigh fading channels in MIMO systems in the presence of co-channel interference (CCI). Prior published results on BPSK transmission over SIMO channels using ML-detected RMSGC diversity signal showed superior bit error rate performance to classical EGC, SC, SLC diversity combining schemes. In addition, the performance of RMSGC was previously shown to be near-optimal in the sense that it was very close to that of the optimal, but complicated and in many cases non-practical, MRC. While this proved to be a very promising technique for fading channels, it suffered from CCI and its performance deteriorated for more than 8 antennas. In this work, we overcame this drawback and showed that CCI can be resolved using RMSGC-combined and ML-detected OFDM-driven MIMO systems. The performance was further improved using SVM detection, which was also successfully tested in previous work. Novel diversity combining in OFDM-based MIMO systems (PDF Download Available). Available from: https://www.researchgate.net/publication/228636680_Novel_diversity_combining_in_OFDM-based_MIMO_systems [accessed Feb 05 2018].
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/710||Open URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Electrical Engineering|
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