ML Detection with Symbol Estimation for Nonlinear Distortion of OFDM Signals
نویسندگان
چکیده
In this paper, a new technique of signal detection has been proposed for detecting the orthogonal frequencydivision multiplexing (OFDM) signals in the presence of nonlinear distortion. There are several advantages of OFDM communication systems. However, one of the existing problems is considered as the nonlinear distortion generated by high power amplifier at the transmitter end due to the large dynamic range of an OFDM signal. The proposed method is the maximum likelihood detection with the symbol estimation. During the training phase, the neural network has been used to learn the characteristic of received signals and to estimate the transmitted symbols, which are provided to the maximum likelihood detector. Resulting in the system performance, the nonlinear distortion of a traveling wave tube amplifier with OFDM signal is considered in this paper. Simulation results of the bit-error-rate performance are obtained.
منابع مشابه
ML Detection with Symbol Estimation for Nonlinear Distortion of OFDM Signal
In this paper, a new technique of signal detection has been proposed for detecting the orthogonal frequency-division multiplexing (OFDM) signal in the presence of nonlinear distortion. There are several advantages of OFDM communications system. However, one of the existing problems is remain considered as the nonlinear distortion generated by high-power-amplifier at the transmitter end due to t...
متن کاملEffect of smooth nonlinear distortion on OFDM symbol error rate
Nonlinear distortion of OFDM signals can significantly increase the receiver symbol error rate (SER). Currently, distortion analyses rely on simulation, not yielding insight into the problem, or apply to specific nonlinearities only. In this letter, general analytic results are presented on the errors resulting from distortion. The results are applicable to smooth nonlinear distortion of an OFD...
متن کاملChannel Estimation for Nonlinear OFDM System Using Diagonal Scattered Pilots
The next generation wireless communications require wideband information transmission with high data rates. Orthogonal frequency division multiplexing (OFDM) is recognized as a promising technique which can efficently overcome the multipath effect and inter symbol interference (ISI) of wideband wireless channels [1]. A dynamic estimation of channel is necessary before the demodulation of OFDM s...
متن کاملAdaptive Population Sizing Genetic Algorithm Assisted Maximum Likelihood Detection of OFDM Symbols in the Presence of Nonlinear Distortions
This paper presents Adaptive Population Sizing Genetic Algorithm (AGA) assisted Maximum Likelihood (ML) estimation of Orthogonal Frequency Division Multiplexing (OFDM) symbols in the presence of Nonlinear Distortions. The proposed algorithm is simulated in MATLAB and compared with existing estimation algorithms such as iterative DAR, decision feedback clipping removal, iteration decoder, Geneti...
متن کاملNonlinear Channel Characterization in OFDM Systems Using Signals with Spectral Notches
–we consider the problem of characterizing nonlinear channels in real baseband OFDM communication systems. A novel method is proposed to estimate the frequency domain Volterra kernels of nonlinear channels using OFDM signals with spectral notches. In this method, the OFDM signal is arranged in a way that each full-spectral OFDM symbol frame is followed by copies of the same OFDM symbol frame bu...
متن کامل