Neural network augmentation for wireless channel estimation and tracking
AssigneeQUALCOMM Incorporated
InventorsRana Ali Amjad, Kumar Pratik, Max Welling, Arash Behboodi, Joseph Binamira Soriaga
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Abstract
A method performed by a communication device includes generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device. The method also includes inferring, with a neural network, a residual of the initial channel estimate of the current time step. The method further includes updating the initial channel estimate of the current time step based on the residual.
Claims30
A method performed by a communication device, comprising:
- generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device;
- inferring, with a neural network, a residual of the initial channel estimate of the current time step;
- and
- updating the initial channel estimate of the current time step based on the residual.
An apparatus at a communication device, comprising:
- a processor;
- a memory coupled with the processor;
- and
- instructions stored in the memory and operable, when executed by the processor, to cause the apparatus:
- to generate an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device;
- to infer, with a neural network, a residual of the initial channel estimate of the current time step;
- and
- to update the initial channel estimate of the current time step based on the residual.
A non-transitory computer-readable medium having program code recorded thereon at a communication device, the program code executed by a processor and comprising:
- program code to generate an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device;
- program code to infer, with a neural network, a residual of the initial channel estimate of the current time step;
- and
- program code to update the initial channel estimate of the current time step based on the residual.
An apparatus at a communication device, comprising:
- means for generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device;
- means for inferring, with a neural network, a residual of the initial channel estimate of the current time step;
- and
- means for updating the initial channel estimate of the current time step based on the residual.
Dependencies are inferred from the claim text.