Radical basis function neural network predistortion method for adaptive power amplifier
A power amplifier and pre-distortion technology, which is applied in the direction of improving the amplifier to reduce nonlinear distortion, synchronization/start-stop system, multi-carrier system, etc., can solve the problems of complex implementation, large amount of calculation, high linearity, etc., and achieve simple implementation, Reduced complexity, high linearity effect
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[0033] Various preferred embodiments of the present invention will be described in more detail below in conjunction with the accompanying drawings.
[0034] The inventive method as shown in Figure 1, comprises the steps:
[0035] A. The broadband multi-carrier input signal v(n) passes through the analog down-converter to form an intermediate frequency signal. The predistortion signal z(n) is generated through the radial basis function RBF (Radial basis function) network predistorter;
[0036] B. The predistortion component z(n) passes through the analog up-converter, and then is sent to the power amplifier to cancel the nonlinear component produced by the power amplifier; wherein the analog predistorter generates the predistortion signal z(n) according to Controlled by the error offset e(n) between the envelope signal and the digital feedback signal Vf(n) reflecting the linearity of the transmission channel, the control steps are as steps C to F;
[0037] C. Coupling part of...
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