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Non-linear modeling method

  • US 7,091,779 B2
  • Filed: 10/29/2002
  • Issued: 08/15/2006
  • Est. Priority Date: 11/12/2001
  • Status: Expired due to Term
First Claim
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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.

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