UNJUKKERJA SISTEM MIMO-OFDM PENJAMAKAN SPASIAL MENGGUNAKAN ESTIMASI KANAL
| Main Authors: | , Anggun Fitrian Isnawati, , Dr. Eng. Ir. Risanuri Hidayat, M.Sc. |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2011
|
| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/90515/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53179 |
Daftar Isi:
- Growth of wireless technology is increasing as well the demand for high data rates communication services. To realize this condition, MIMO-OFDM technology is adopted with collecting their best properties. OFDM is one of best method which is very suited to be used as modulation and transmission technique in wireless system, because of its multicarrier property (orthogonal) to increase the bandwidth efficiency and its robustness to overcome inter symbol interference (ISI). MIMO has been known as a smart antenna technology which is used to enhance the transmission quality and capacity with its properties in diversity gain and multiplexing gain. Due to the channel characteristic of the transmission system is always changed by the time and its importance in wireless transmission to reconstruct the transmitted signals, the channel needs to be known as well as possible. Pilot symbols are used to gather knowledge about the channel and try to estimate it. The channel estimation that based on the pilot symbol is called pilot aided channel estimation. In this research, Least Square (LS) method was chosen for initial channel estimation in pilots at receiver. By using applicable proposed system design, channel state information is estimated by linear interpolation in all of information subcarriers. Zero forcing algorithm (ZF) is used to detect and separate the received signal. Using MATLAB simulation, performance of this research is measured by means MSE and NMSE of the channel, MSE and NMSE of the symbol, SER, BER and channel capacity. The result show that channel estimation is better by increasing SNR. It showed by MSE and NMSE of the channel that reach 5x10-5 for SNR 25 dB. The value of SER and BER are also decrease by increasing SNR value, they reach 7x10-3 and 2x10-3 for SNR 25 dB respectively. The estimated channel capacity has the values that close to the known CSI channel capacity.