{'fraction_non_alphanumeric': 0.02335928809788654, 'fraction_numerical': 0.0011123470522803114, 'mean_word_length': 5.521739130434782, '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}}
Robust synchronization-signal detection for cell identification in 3GPP LTE and LTE-advanced receivers

Robust cell search and synchronization are key to the performance of LTE and LTE Advanced Systems. In this work, we propose efficient algorithms for synchronization-signal detection for cell identification in the presence of large frequency and channel uncertainties. In the first stage, we detect the primary synchronization signal (PSS) via a novel window based peak pick method. The detection process also establishes frame timing, integer and fractional frequency offset. In the second stage, we identify the secondary synchronization signal (SSS) via a novel two-step detect-validate approach. On successful validation of the two stage process, the cell identification is established. Simulations confirm the robustness of the proposed methods to severe frequency and channel uncertainties.