US 12,475,353 B2
Domain adaptation for wireless sensing
Jamie Menjay Lin, San Diego, CA (US); Debasmit Das, San Diego, CA (US); and Fatih Murat Porikli, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Sep. 23, 2021, as Appl. No. 17/483,434.
Prior Publication US 2023/0085880 A1, Mar. 23, 2023
Int. Cl. G06N 3/04 (2023.01); G06F 17/16 (2006.01); G06N 3/08 (2023.01); H04W 64/00 (2009.01)
CPC G06N 3/04 (2013.01) [G06F 17/16 (2013.01); G06N 3/08 (2013.01); H04W 64/00 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A method, comprising:
determining an input tensor comprising channel state information (CSI) for a wireless signal, wherein each channel in the input tensor corresponds to a respective degree of freedom (DoF) in the wireless signal;
generating a domain-adapted tensor by processing the input tensor using a domain-adaptation network comprising, for each respective DoF in the wireless signal, a respective convolution path; and
providing the domain-adapted tensor to a neural network trained for position estimation.