{'fraction_non_alphanumeric': 0.02631578947368421, 'fraction_numerical': 0.0, 'mean_word_length': 4.962686567164179, '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}}
An Improved SLM Algorithm for PAPR Reduction in OFDM

To resolve the problem that the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems is too high, an improved selected mapping (SLM) is proposed in this paper. By scaling the selected signal amplitude and dividing the OFDM vector in the transmitter, it saves the system bandwidth and reduce the PAPR efficiently, and it doesn’t need side information to be sent. At the same time, the random phase sequence information is rapidly recovered by using related detective algorithm, which largely raises the detective efficiency in the receiver. The simulation results show that the improved SLM could reduce the PAPR more efficiently while the bit error rate (BER) is similar to the one of the typical SLM.