scholarly journals Development of Software Defined Radio Algorithm using Mimo OFDM for Short Range Communication

2019 ◽  
Vol 8 (10) ◽  
pp. 3994-4003
Keyword(s):  
Channel Estimation ◽  
Amplitude Modulation ◽  
Software Defined Radio ◽  
Short Range ◽  
Carrier Frequency Offset ◽  
Data Rate ◽  
Spectrum Efficiency ◽  
Beam Forming ◽  
Maximum Throughput ◽  
Mimo Ofdm

In the recent past, the software defined radio (SDR) using Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplex (OFDM) is implemented to improve the data rate and channel estimation with high spectrum and maximum throughput for short range communication. The short range of communication is established to communicate the data between different nodes placed in the appropriate position using localization technique using SDR MIMO OFDM. The 256-M Array Quadrature Amplitude Modulation (256 M-Ary Quartrature Amplitude Modulation) is applied to SDR MIMO OFDM to reduce Modulation Error Rate (MER) for efficient transmission of data through SDR. The high data rate is achieved by applying the beam-forming equalization technique by applying beam-forming between transmitter and receiver of SDR. The Zero-forcing-beam-forming (ZFBF) equalizer is used in frequency domain to correlate transmitter and receiver to improve the spectrum efficiency better. The synchronization error is reduced in the transceiver of SDR by reducing Carrier Frequency Offset (CFO) mismatch and Sampling Time Offset (STO). The simulation results have proved that the proposed algorithm have better performance in data rate improvement with elimination of CFO mismatch problem to improve the spectrum efficiency and higher range of channel estimation.

scholarly journals Maximum likelihood-based adaptive iteration algorithm design for joint CFO and channel estimation in MIMO-OFDM systems

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Nan-Hung Cheng ◽  
Kai-Chieh Huang ◽  
Yung-Fang Chen ◽  
Shu-Ming Tseng
Keyword(s):  
Maximum Likelihood ◽  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Carrier Frequency Offset ◽  
Mean Squared Error ◽  
Joint Estimation ◽  
Iteration Algorithm ◽  
Time Varying ◽  
Ofdm Systems ◽  
Mimo Ofdm

AbstractIn this paper, we present a joint time-variant carrier frequency offset (CFO) and frequency-selective channel response estimation scheme for multiple input-multiple output-orthogonal frequency-division multiplexing (MIMO-OFDM) systems for mobile users. The signal model of the MIMO-OFDM system is introduced, and the joint estimator is derived according to the maximum likelihood criterion. The proposed algorithm can be separated into three major parts. In the first part of the proposed algorithm, an initial CFO is estimated using derotation, and the result is used to apply a frequency-domain equalizer. In the second part, an iterative method is employed to locate the fine frequency peak for better CFO estimation. An adaptive process is used in the third part of the proposed algorithm to obtain the updated CFO estimation and track parameter time variations, including the time-varying CFOs and time-varying channels. The computational complexity of the proposed algorithm is considerably lower than that of the maximum likelihood-based grid search method. In a simulation, the mean squared error performance of the proposed algorithm was close to the Cramer-Rao lower bound. The simulation results indicate that the proposed novel joint estimation algorithm provides a bit error rate performance close to that in the perfect channel estimation condition. The results also suggest that the proposed method has reliable tracking performance in Jakes’ channel models.

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