US 12,328,209 B2
Neural network based line of sight detection and angle estimation for positioning
Srinivas Yerramalli, San Diego, CA (US); Xiaoxia Zhang, San Diego, CA (US); Taesang Yoo, San Diego, CA (US); and Rajat Prakash, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on May 30, 2024, as Appl. No. 18/678,846.
Application 18/678,846 is a division of application No. 17/409,693, filed on Aug. 23, 2021, granted, now 12,052,121.
Claims priority of provisional application 63/073,296, filed on Sep. 1, 2020.
Prior Publication US 2024/0314001 A1, Sep. 19, 2024
Int. Cl. H04L 25/02 (2006.01); G01S 3/48 (2006.01); H04W 64/00 (2009.01)
CPC H04L 25/0254 (2013.01) [G01S 3/48 (2013.01); H04L 25/0212 (2013.01); H04W 64/003 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method for measuring a channel in a wireless communication system, comprising:
receiving reference signal information;
determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses, wherein the one or more timing hypotheses correspond to one or more respective periods within a timing window for receiving the reference signal information;
determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses;
processing the one or more channel impulse responses with a neural network; and
determining an output of the neural network.