Non-linear modeling method
First Claim
1. A method of modeling a non-linear digital signal processing system for reduction of distortion in the system, the method comprising:
- expressing the non-linear digital processing system as a number of processes depending on a set of determined process parameters P1 to PN and non-linear processes designated as NLS(P1,P2, . . . PN), which are described by multiplying blocks or a cascade of non-linear sub-processes each depending on one of the non-linear process parameters P1 to PN, whereby each sub-process is described by a generalized Wiener or Hammerstein process comprising both a linear and a non-linear process and a description of the process or system is made by a model describing first a transfer function of a main non-linear sub-system (MNLS) depending on a process P1, and consecutive multiplying non-linear system processes are each described by a transfer function 1+dNLS(dPi), wherein a process dNLS(dPi) is defined as a difference sub-process to the preceding cascaded processes and a process parameter dPi is defined as equal to a difference between an actual process parameter value Pi and a mean value Pi_mean of the process value Pi used in preceding processes.
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Abstract
In the present invention a completely different approach for modeling of non-linear devices or processes is used. A cascade of blocks each depending on a non-linearity parameter are utilized both in non-linear modeling and a pre-distorter design. The new non-linear model description can be used for characterization of a non-linear system or for linearizing a non-linear system. Application to a Communications System Multi-carrier Amplifier is shown as an application example. Also for other application areas of the new mathematical method is feasible echo-canceling, non-linear communications channels etc. Parameter extractions and tables for the new model do not give multiple dimensional mathematical solutions for parameter extractions as in prior art.
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Citations
6 Claims
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1. A method of modeling a non-linear digital signal processing system for reduction of distortion in the system, the method comprising:
expressing the non-linear digital processing system as a number of processes depending on a set of determined process parameters P1 to PN and non-linear processes designated as NLS(P1,P2, . . . PN), which are described by multiplying blocks or a cascade of non-linear sub-processes each depending on one of the non-linear process parameters P1 to PN, whereby each sub-process is described by a generalized Wiener or Hammerstein process comprising both a linear and a non-linear process and a description of the process or system is made by a model describing first a transfer function of a main non-linear sub-system (MNLS) depending on a process P1, and consecutive multiplying non-linear system processes are each described by a transfer function 1+dNLS(dPi), wherein a process dNLS(dPi) is defined as a difference sub-process to the preceding cascaded processes and a process parameter dPi is defined as equal to a difference between an actual process parameter value Pi and a mean value Pi_mean of the process value Pi used in preceding processes. - View Dependent Claims (2, 3, 4, 5, 6)
Specification