US 11,700,070 B2
Hypernetwork Kalman filter for channel estimation and tracking
Kumar Pratik, Amsterdam (NL); Arash Behboodi, Amsterdam (NL); Joseph Binamira Soriaga, San Diego, CA (US); and Max Welling, Bussum (NL)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on May 2, 2022, as Appl. No. 17/734,524.
Claims priority of provisional application 63/182,719, filed on Apr. 30, 2021.
Prior Publication US 2022/0376801 A1, Nov. 24, 2022
Int. Cl. H04B 17/373 (2015.01); H04B 17/391 (2015.01)
CPC H04B 17/373 (2015.01) [H04B 17/3913 (2015.01)] 28 Claims
OG exemplary drawing
 
1. A processor-implemented method by a communication device, comprising:
receiving an input sequence comprising a plurality of channel dynamics observations for a wireless communication channel, each channel dynamics observation corresponding to a timing of a plurality of timings;
determining, via a recurrent neural network (RNN), a residual at each of the plurality of timings based on the plurality of channel dynamics observations;
updating Kalman filter (KF) parameters based on the residual; and
estimating, via the KF, a channel state based on the updated KF parameters.