LDPC codes for fading Gaussian broadcast channels
IEEE Transactions on Information Theory
Blind equalization/detection for OFDM signals over frequency-selective channels
IEEE Journal on Selected Areas in Communications
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The novelty of the solution consists in a blind equalization/detection (BED) algorithm that replaces the classical differential encoding/decoding (DED) equalization technique. In this context, blind means that no pilot carriers or training blocks are required in order to perform channel estimation. Our new BED approach utilizes the sequence detection technique for joint equalization and decoding of OFDM signals over frequency-selective channels, based on the fact that the inherent Fourier transform processing turns a single wideband frequency-selective channel into a set of narrowband frequency flat fading channels. The proposed detection strategy was implemented on a TMS 320 C31 DSP via a standard Viterbi algorithm. In the proposed detector, channel equalization is accomplished by means of a trellis detector operating on a block-by-block basis. We have defined the resulting scheme a blind Viterbi equalizer (BVE). The simulation results show that BED performs better than DED at high signal-to-noise ratio and does not require any periodic training information. Also, we show that BED operates well in a time-varying environment and so it is an attractive solution for high speed multimedia application.