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Employing ICA for inter-carrier interference cancellation and symbol recovery in OFDM systems

This paper takes advantage of the mutual statistical independence of subcarriers' signals of OFDM through the application of independent component analysis (ICA) for strengthening the signal recovery capabilities. The ICA, also known as blind source separation (BSS), can increase spectral efficiency and anti-noise performance of OFDM system compared to pilot-assisted method. First we build the ICA model for OFDM system. Then the blind source recovery is implemented via the ICA based natural gradient algorithm. Numerical studies indicate that the proposed ICA-aided receivers enhance the conventional detection capabilities of OFDM equalization method relying on channel identification. This consists with the facts that ICA is able to utilize the independence of the original signals, and that ICA does not explicitly depend on the erroneous channel estimation.