{'fraction_non_alphanumeric': 0.018691588785046728, 'fraction_numerical': 0.0, 'mean_word_length': 5.410256410256411, '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}}
Signal detection of MIMO system based on quantum ant colony algorithm

The multiple-input multiple-output (MIMO) technology uses several antennas on both of the launch and the receiver terminal. Though the MIMO system can greatly improve the system capacity and performance without increasing system bandwidth or transmission power, it also increases the difficulty of signal detection at the receiver. In this paper, the quantum ant colony algorithm (QACA) is used in signal detection of MIMO system. Simulation results show that the computational complexity of the proposed scheme is a polynomial, and the detection performance is close to the detection performance of Maximum likelihood detection, better than the detection performance of VBLAST.