Excitation apparatus of digital TV transmitter based on nerval net predistortion technology

A neural network and digital TV technology, applied in the field of digital TV transmitter exciters, can solve problems such as difficult solutions and no successful examples, and achieve the effect of improving accuracy and saving costs

Inactive Publication Date: 2007-07-18
CHENGDU XINGUANG MICROWAVE ENG
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Problems solved by technology

[0008] 2. After obtaining the AM-AM model of the RF TV transmitter with the polynomial method, the predistortion algorithm corresponding to this polynomial model is relatively difficult to solve
But in terms of the AM-PM model, although people have made continuous efforts, there is no successful example in this area so far.

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  • Excitation apparatus of digital TV transmitter based on nerval net predistortion technology
  • Excitation apparatus of digital TV transmitter based on nerval net predistortion technology
  • Excitation apparatus of digital TV transmitter based on nerval net predistortion technology

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Embodiment Construction

[0034] The method provided here based on baseband digital pre-distortion technology to improve the efficiency of radio frequency television transmitters is to increase the working range of radio frequency television transmitters by performing predistortion processing on the input signals of radio frequency television transmitters, thereby improving the efficiency of radio frequency television transmitters Efficiency; what kind of preprocessing to the input signal needs to be determined according to the mathematical model of the TV transmitter. The present invention improves the efficiency of the television transmitter by providing a mathematical model for accurately establishing the radio frequency television transmitter. What is described in the present invention is a modeling method of a radio frequency television transmitter oriented to baseband digital pre-distortion technology, that is, a neural network method. Include respectively as shown in Figure 3, the neural network...

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Abstract

This invention relates to a digital TV transmitter exciter, which is an exciter applying a very new method to solve the problem of pre-distortion of TV transmitters, in which, the RF TV transmitter digital model set up by the NN method includes the method against the AM-AM model of RF TV transmitter input/output amplitude relation and its phase deviation model and the structure design and reference volume of its parameter of the model, and the computation is increased along with the increase of its complexity, mainly only linear increase, so said NN model is suitable for the solution of the pre-distortion algorithm.

Description

technical field [0001] The digital TV transmitter exciter based on the neural network pre-distortion technology described in the present invention is an exciter which adopts a brand-new method to solve the pre-distortion problem of the digital TV transmitter. The new method solves the problem of computational complexity when performing accurate predistortion calculations. Therefore, the accuracy of pre-distortion correction is improved. Greatly save the cost of the transmitter. [0002] The final stage of the TV transmitter is the main part of the power consumption of electronic equipment, and it is also the part with the highest cost. Class B or Class C amplification is usually used to make the amplifier as efficient as possible. But this kind of amplifier has serious non-linear characteristics. Linear modulation technologies such as QPSK or QAM have high spectrum utilization, but their undulating envelope signals will produce intermodulation distortion through nonlinear ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/38H04N5/00
Inventor 余少波崔华柴秀新蒋小献
Owner CHENGDU XINGUANG MICROWAVE ENG
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