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US 2021/0021297 A1Published application
Angle of propagation estimation in a multipath communication system
AssigneeCypress Semiconductor Corporation
InventorsAidan Smyth, Kiran Uln, Victor Simileysky, Kamesh Medapalli
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Abstract
A system includes a transceiver configured to receive frequency dependent channel estimates or beamforming feedback in a multi-carrier, multi-antenna communication system, and a multi-layer perceptron feed forward neural network component, coupled with the transceiver, configured to estimate parameters of multipath reflections using representations of the channel estimates or beamforming feedback, and to generate transmission correction factors for the transceiver.
Claims30
A system, comprising:
- a transceiver configured to receive frequency dependent channel estimates or beamforming feedback in a multi-carrier, multi-antenna communication system;
- and
- a multi-layer perceptron feed forward neural network (FFNN) component, coupled with the transceiver, configured to estimate parameters of multipath reflections using representations of the channel estimates or the beamforming feedback, and to generate transmission correction factors for the transceiver;
- and
- a processor coupled with the transceiver and the FFNN, configured to extract from the channel estimates, frequency dependent n by m H-matrix amplitude and phase data for a plurality of carrier frequencies, or to extract from the beamforming feedback, frequency dependent n by m V-matrix amplitude and phase data for the plurality of carrier frequencies, wherein n is a number of transmit antennas, m is a number of receive antennas, and the product of m and n is a number of channels in the communication system, and wherein m and n are natural numbers.
2 more elements
A method, comprising:
- receiving, at a transceiver in a multi-carrier, multi antenna communication system, one of channel estimates and beamforming estimates for a plurality of carrier frequencies;
- estimating, with a multi-layer perceptron feed forward neural network (FFNN), parameters of multi path reflections using representations of the channel estimates or beamforming feedback;
- and
- adjusting phases and amplitudes of channel transmissions based on the estimated parameters of multipath reflections;
- and
- extracting from the channel estimates, in a processor, frequency dependent n by m H-matrix amplitude and phase data for a plurality of carrier frequencies, or extracting from the beamforming feedback, frequency dependent n by m V-matrix amplitude and phase data for the plurality of carrier frequencies, wherein n is a number of transmit antennas, m is a number of receive antennas, and the product of m and n is a number of channels in the communication system, wherein m and n are natural numbers.
3 more elements
A method, comprising:
- providing training data comprising simulations of channel estimates and beamforming feedback in a multi-channel, multi-carrier communication system for a plurality of multipath scenarios;
- training a multi-layer perceptron feed forward neural network (FFNN) with in-phase and quadrature-phase representations of the channel estimates and beamforming feedback, to estimate parameters of multipath reflections;
- generating spirographic feature sets from the in-phase and quadrature representations of the channel estimates and beamforming feedback for each of the plurality of multipath scenarios, for each channel at each carrier frequency;
- and storing weights, biases and activation functions of the trained FFNN in a memory.
1 more element
Dependencies are inferred from the claim text.