US 12,219,428 B2
Satellite signal environment determination and/or position estimate selection
Bo Zheng, Sunnyvale, CA (US); Chandrasekhar Jayaram, Bangalore (IN); Gengsheng Zhang, Cupertino, CA (US); Yinghua Yang, San Jose, CA (US); and Subrahmanyam Anand Mantravadi Venkata, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Jul. 31, 2021, as Appl. No. 17/390,923.
Prior Publication US 2023/0035711 A1, Feb. 2, 2023
Int. Cl. H04W 4/029 (2018.01)
CPC H04W 4/029 (2018.02) 23 Claims
OG exemplary drawing
 
1. A user equipment comprising:
a receiver configured to receive one or more positioning signals;
a memory; and
a processor, communicatively coupled to the receiver and the memory, configured to:
determine that the user equipment is line-of-sight relative to fewer than a threshold number of positioning signal sources;
determine a first position estimate hypothesis for the user equipment using one or more first measurements of the one or more positioning signals in a first position estimating process;
determine a second position estimate hypothesis for the user equipment using one or more second measurements of the one or more positioning signals in a second position estimating process, wherein the second position estimating process uses a second parameter value of a parameter and the parameter is absent from the first position estimating process or has a first parameter value that is different from the second parameter value;
report a reported position estimate based on the first position estimate hypothesis or the second position estimate hypothesis in response to the user equipment being line-of-sight to fewer than the threshold number of positioning signal sources;
determine a dynamic process noise based on at least one of an uncertainty of a position fix for the user equipment, motion of the user equipment, environment context, user dynamics, or position offset with respect to a previously-determined position of the user equipment; and
determine the second parameter value based on the dynamic process noise.