A major drawback of the Orthogonal Frequency-Division Multiplex (OFDM) principle is the high dynamic range of the transmit signal. The transmit Power Amplifier (PA) and other elements in the signal path have to be operated at high Input Power BackOff (IBO), which decreases the efficiency of the PA and leads to higher costs. This paper presents a novel receive algorithm for OFDM signals with limited dynamic range. Similar to existing estimators for clipped real processes, a closed-form expression of a Bayesian estimator for more practically relevant clipped complex Gaussian processes, observed over the Additive White Gaussian Noise (AWGN) channel, is derived. The estimator is based on the distribution of the real and imaginary parts of the complex baseband OFDM signal.
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