Determination of signal characteristics
AssigneeAirbus Defence and Space GmbH
InventorTerence Dodgson
Life of this patent
Estimating the term…
Abstract
A method of determining an estimate of a signal-to-noise ratio characteristic of a signal by receiving samples of the signal; extracting, from the samples, values of two or more features indicative of the signal-to-noise ratio characteristic; providing the two or more extracted feature values as inputs to a machine learning agent; and causing the machine learning agent to process the extracted feature values to provide the estimate of the signal-to-noise ratio characteristic.
Claims20
A method of determining an estimate of a signal-to-noise ratio characteristic of a signal, the method, executed by a processor, comprising:
- receiving samples of a signal;
- extracting, from the samples, values of two or more features indicative of a signal-to-noise ratio characteristic;
- providing the two or more extracted feature values as inputs to a machine learning agent;
- prior to the step of providing the two or more extracted feature values to the machine learning agent, adjusting a relative weightings of at least two of the two or more extracted feature values;
- and
- causing the machine learning agent to process the two or more extracted feature values to provide an estimate of the signal-to-noise ratio characteristic.
The method of any preceding claim, wherein the two or more extracted feature values comprise an in-phase part, μr, of a mean of the signal samples, M1 or a quadrature part μl of a mean of the signal samples, or both, and
- wherein
- M
- 1
- =
- µ
- r
- +
- j
- •
-
- µ
- i
- =
- 1
- N
-
- ∑
- t
- =
- 0
- t
- =
- N
- -
- 1
- z
- t
- ,
- wherein N is a total number of samples, zt.
A non-transitory computer readable media storing a computer program comprising a set of instructions, which, when executed by a computerized apparatus, cause the computerized apparatus to perform a method of determining an estimate of a signal-to-noise ratio characteristic of a signal, the method comprising:
- receiving samples of a signal;
- extracting, from the samples, values of two or more features indicative of a signal-to-noise ratio characteristic;
- providing the two or more extracted feature values as inputs to a machine learning agent;
- prior to the providing the two or more extracted feature values to the machine learning agent, adjusting a relative weightings of at least two of the two or more extracted feature values and
- causing the machine learning agent to process the two or more extracted feature values to provide an estimate of the signal-to-noise ratio characteristic.
An apparatus for determining an estimate of a signal-to-noise ratio characteristic of a signal, the apparatus comprising:
- a processor configured to:
- receive samples of a signal;
- extract, from the samples, values of two or more features indicative of a signal-to-noise ratio characteristic;
- provide the two or more extracted feature values as inputs to a machine learning agent;
- prior to providing the two or more extracted feature values to the machine learning agent, adjust a relative weightings of at least two of the two or more extracted feature values and
- cause the machine learning agent to process the two or more extracted feature values to provide an estimate of the signal-to-noise ratio characteristic.
Dependencies are inferred from the claim text.