Liberty Latin America has been granted a patent for innovative physical layer processing methods that enhance wireless network discovery and synchronization. The methods utilize spatial processing algorithms, including spatial matched filters and adaptive beamformers, to improve performance in challenging radio frequency environments. GlobalData’s report on Liberty Latin America gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Liberty Latin America, was a key innovation area identified from patents. Liberty Latin America's grant share as of July 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.

Wireless network discovery and synchronization using spatial processing

Source: United States Patent and Trademark Office (USPTO). Credit: Liberty Latin America Ltd

The patent US12040921B1 outlines a method and system for detecting synchronization signals in a communication system using advanced signal processing techniques. The method involves searching for a synchronization signal by applying a spatial matched filter, which incorporates a spatial whitener, to signals received by multiple antennas. This process is complemented by the use of multiple adaptive beamformers that detect various signal parameters, including carrier frequency and timing offsets, from the synchronization signal. The method can be executed at a remote node within the communication system, with synchronization signals being transmitted from a base station.

The system described in the patent consists of a plurality of antennas connected to a spatial matched filter and multiple adaptive beamformers. The spatial matched filter is designed to identify synchronization signals from incoming signals, while the adaptive beamformers are tasked with detecting specific parameters within those signals. Each beamformer utilizes cross-correlation vectors and inverse spatial covariance matrices to optimize detection. Additionally, the system can generate training sequences to enhance the accuracy of parameter detection, further improving the reliability of synchronization in communication networks.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.