An attractive feature of the Orthogonal Frequency Division Multiplexing (OFDM) system is its simple one-tap equalizer for linear channel distortions. Nevertheless, one still has to address the channel estimation issue. In mobile environments, self-recovery methods that avoid any recurring training overhead are of interest. In this paper, we propose a superimposed pilot scheme employing only a first-order statistic to identify the channel for OFDM systems. It can be regarded as a semi-blind method and does not require dedicated slots for training. This scheme allows for simple channel estimation as well as equalization, with no loss of spectral efficiency.
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