scholarly journals OFDM Systems: Symbol Error Rate Evaluation, Filter Bank Design and Joint Maximum Likelihood Detection

Author(s):  
Yuhong Wang

A closed-form symbol error rate (SER) formula for a generic OFDM system with M-ary phas shift keying (MPSK) modulation, and optimal phase detector for each subchannel, is derived. by employing the derived SER formula as the objective function, a novel OFDM system based on designed complex-valued unitary filter banks is presented to minimize the SER. A detection algorithm is presented for a generic OFDM system to jointly detect subchannel symbols received in one time frame. Monte-Carlo numerical simulations are performed to verify the theoretical SER analysis and compare the error performance of the proposed OFDM system with DFT-based OFDM and DWMT systems, and the new joint detection algorithm with the cinventional subchannel detection algorithm. The above efforts provide systematic approaches for the OFDM error performance analysis and the OFDM system design.

2021 ◽  
Author(s):  
Yuhong Wang

A closed-form symbol error rate (SER) formula for a generic OFDM system with M-ary phas shift keying (MPSK) modulation, and optimal phase detector for each subchannel, is derived. by employing the derived SER formula as the objective function, a novel OFDM system based on designed complex-valued unitary filter banks is presented to minimize the SER. A detection algorithm is presented for a generic OFDM system to jointly detect subchannel symbols received in one time frame. Monte-Carlo numerical simulations are performed to verify the theoretical SER analysis and compare the error performance of the proposed OFDM system with DFT-based OFDM and DWMT systems, and the new joint detection algorithm with the cinventional subchannel detection algorithm. The above efforts provide systematic approaches for the OFDM error performance analysis and the OFDM system design.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Maoke Miao ◽  
Xiaofeng Li

Abstract In this paper, the symbol-error rate (SER) performance of a coherent free-space optical (FSO) communication system in lognormal-Rician turbulence channel is analyzed using the generalized Gram-Charlier (GCC) series. We proposed the differential evolution (DE) algorithm to solve the parameters in GCC efficiently. It is shown that highly accurate closed-form SER expressions are obtained for M-ary phase-shift keying (MPSK) and M-ary quadrature amplitude modulation (MQAM) schemes with maximum ratio combining (MRC) technique. The asymptotic error rate analysis is presented to reveal the performance behavior in the high signal-to-noise (SNR) regime. The effects of imperfect phase noise compensation on the error rate performance are also studied, and it is found that the impact of phase compensation error can be small enough with loop SNR ρ c more than seven.


Author(s):  
Manisha Bharti

Instability of the local oscillator causes phase noise – a phenomenon that is a disadvantage and is considered to be a major obstacle in the functioning of coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. An attempt has been made in this paper to reduce the effects of common phase errors generated by phase noise. In this paper, a least mean square (LMS) based algorithm is proposed for estimation of phase noise. Using this proposed algorithm, the major problem of phase ambiguity caused by cycle slip is avoided and the bit error rate is greatly improved. Further, there is no requirement for modifying the frame structure of OFDM using this algorithm. A CO-OFDM system with the 8-PSK technique is used to implement the algorithm concerned. Furthermore, the algorithm, using the 8-PSK modulation technique, is analyzed and compared with the existing QPSK technique and with other algorithms. The investigations reveal that 8-PSK outperforms existing LMS algorithms using other techniques and significantly reduces the bit error rate.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 70082-70094 ◽  
Author(s):  
Mahmoud Abdullahi ◽  
Aijun Cao ◽  
Adnan Zafar ◽  
Pei Xiao ◽  
Ibrahim A. Hemadeh

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