{'fraction_non_alphanumeric': 0.027522935779816515, 'fraction_numerical': 0.0, 'mean_word_length': 5.494047619047619, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Independent component analysis - an innovative technique for wireless MIMO OFDM systems

This paper investigates the application of independent component analysis (ICA) on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) wireless communication systems. We present first the ICA based blind equalization for MIMO OFDM systems, where the non-redundant linear precoding is employed to resolve the ambiguity in the ICA equalized signal and reduce peak-to-average power ratio (PAPR) of OFDM signal. Then we discuss the application of ICA to the blind compensation for both frequency-dependent and frequency-independent inphase/quadrature (I/Q) imbalance in MIMO OFDM systems. Simulation results show that the ICA based equalization approach provides a much better performance than that of the subspace method with significant PAPR reduction. In addition, the ICA based I/Q compensation approach outperforms not only previous methods, but also the case with perfect channel state information and no I/Q imbalance due to additional frequency diversity gains.