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MATLAB call OptiSystem
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Recently, an elegant channel estimation method for OFDM mobile communication systems has been proposed by Sajjad Ahmed Ghauri [4]. He has discussed the channel estimation in OFDM and its implementation in MATLAB using pilot based block type channel estimation techniques by LS and MMSE algorithms. His paper starts with the comparisons of OFDM using BPSK and QPSK on different channels, followed by modeling the LS and MMSE estimators on MATLAB. In the end, results of different simulations
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MATLAB call OptiSystem
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Recently, an elegant channel estimation method for OFDM mobile communication systems has been proposed by Sajjad Ahmed Ghauri [4]. He has discussed the channel estimation in OFDM and its implementation in MATLAB using pilot based block type channel estimation techniques by LS and MMSE algorithms. His paper starts with the comparisons of OFDM using BPSK and QPSK on different channels, followed by modeling the LS and MMSE estimators on MATLAB. In the end, results of different simulations
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OFDM without noise
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this mathlab code about OFDM without noise
Time-varying channel estimation is an important activity in next generation wireless communication. Channel estimation is required mainly for the significant signal processing operation in multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems such as precoder designing at transmitter & relay and relay selection scheme in cooperative communication system. In this paper we investigate and compare various efficient channel estimation schemes for OFDM system. In this paper the channel estimation techniques based on block type Pilot arrangement for OFDM system are investigated. Finally, the discrete Fourier transform (DFT) based channel estimation technique is performed which gives better performance over least square(LS) and minimum mean square error(MMSE) based channel estimation. The bit error rate (BER) of DFT based channel estimation is less than the BER of LS and MMSE based chan
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MATLAB-call-OptiSystem
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Recently, an elegant channel estimation method for OFDM mobile communication systems has been proposed by Sajjad Ahmed Ghauri [4]. He has discussed the channel estimation in OFDM and its implementation in MATLAB using pilot based block type channel estimation techniques by LS and MMSE algorithms. His paper starts with the comparisons of OFDM using BPSK and QPSK on different channels, followed by modeling the LS and MMSE estimators on MATLAB. In the end, results of different simulations
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MATLAB-call-OptiSystem
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Recently, an elegant channel estimation method for OFDM mobile communication systems has been proposed by Sajjad Ahmed Ghauri [4]. He has discussed the channel estimation in OFDM and its implementation in MATLAB using pilot based block type channel estimation techniques by LS and MMSE algorithms. His paper starts with the comparisons of OFDM using BPSK and QPSK on different channels, followed by modeling the LS and MMSE estimators on MATLAB. In the end, results of different simulations
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MATLAB call OptiSystem
no vote
Recently, an elegant channel estimation method for OFDM mobile communication systems has been proposed by Sajjad Ahmed Ghauri [4]. He has discussed the channel estimation in OFDM and its implementation in MATLAB using pilot based block type channel estimation techniques by LS and MMSE algorithms. His paper starts with the comparisons of OFDM using BPSK and QPSK on different channels, followed by modeling the LS and MMSE estimators on MATLAB. In the end, results of different simulations
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