TITLE:
A Low Complexity Linear Moving Average Filtering Technique for PAR Reduction in OFDM Systems
AUTHORS:
Hassan Ali, Raziq Yaqub
KEYWORDS:
Moving Average Filtering, Recursive Filtering, Orthogonal Frequency Division Multiplexing, Peak-to-Average-Power Ratio, Inverse Fast Fourier Transform
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.11 No.10,
October
12,
2018
ABSTRACT: In this paper, a linear moving average recursive filtering technique is proposed to reduce the peak-to-average power ratio (PAR) of orthogonal frequency division multiplexing (OFDM) signals. The proposed low complexity technique is analyzed in an oversampled OFDM system and a simple distribution approximation of the oversampled and linearly filtered OFDM signals is also proposed. Corresponding time domain linear equalizers are developed to recover originally transmitted data symbols. Through extensive computer simulations, effects of the new filtering technique on the oversampled OFDM peak-to-average power ratio (PAR), power spectral density (PSD) and corresponding linear equalizers on the frequency selective Rayleigh fading channel transmission symbol-error-rate (SER) performance are investigated. The newly proposed recursive filtering scheme results in attractive PAR reduction, requires no extra fast Fourier transform/inverse fast Fourier transform (FFT/IFFT) operations, refrains from transmitting any side information, and reduces out-of-band radiation. Also, corresponding linear receivers are shown to perform very close to their frequency domain counterparts.