Riafeni Karlina

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Fourth generation (4G) wireless based on worldwide interoperability for microwave access (WiMAX) systems are a new promising technology that support high data rate transfer. Channel Estimation of system is carried out by finding Channel impulse response (CIR) of pilot subcarrier using LS or LMMSE algorithms and then finding Channel Frequency Response (CFR)(More)
Channel estimation is one of key problems in IEEE 802.16e Orthogonal Frequency Division Multiplexing Access (OFDMA) downlink system. Minimum Mean Square Error (MMSE) channel estimation has been known as a superior performance channel estimation. However, this algorithm has high computational complexity. In this paper, we present low complexity(More)
High mobility communication systems need suitable channel estimation to cope high frequency selectivity and time variation channel. In recent study on Dowwnlink OFDMA Mobile WiMAX, channel estimation was done by exploiting pilot from preamble[3] instead of pilot from data symbol due to ununiformly pilot spacing in this standard. In this paper we propose to(More)
802. 16e system support high data rate transfer but at the same time user has high mobility and due to this effect,the channel response may vary rapidly. Also pilot signals are usually limited in comb type arrangement to perform interpolation. So to perform channel estimation and interpolation with low complexity in high mobility scenario is the challenging(More)
IQ imbalance is one of the most serious problems in direct-conversion receiver because it introduces signal constellation error and channel estimation error which lead to worse bit error rate. In this paper, we present algorithm and hardware architecture of IQ imbalance estimation and compensation in an OFDM system based on IEEE 802.16-2009 Fixed WiMAX(More)
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