Fusion method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) transmission system of wireless digital seismic detector

A transmission system and seismograph technology, applied in signal transmission systems, multi-frequency code systems, instruments, etc., can solve the problems of small PAPR capability and high computational complexity, and achieve the effect of reducing computational complexity

Inactive Publication Date: 2011-08-31
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

The Selective Mapping Method (SLM) is an effective and undistorted PAPR reduction algorithm, but hi

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  • Fusion method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) transmission system of wireless digital seismic detector
  • Fusion method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) transmission system of wireless digital seismic detector
  • Fusion method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) transmission system of wireless digital seismic detector

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Embodiment Construction

[0033] The main realization principles, specific implementation methods, etc. of the technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0034] Please refer to image 3 , this figure is a flow chart of the main realization principles of the joint improvement method of dynamic selective mapping and compression and expansion proposed by the present invention to process the transmitted signal. , for the parallel transmission signal sequence after serial-to-parallel conversion, select the parallel signal sequence one by one for subsequent processing; the selected group of parallel signal sequences executes the dynamic SLM algorithm, the specific process is shown in Figure 4 . image 3 Inside the dotted line box is the dynamic SLM algorithm, you can see that the calculation to be performed by the dotted line is determined by the PAPR and the preset threshold The result of the comparison determines that the...

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Abstract

The invention discloses a fusion method for reducing a peak-to-average power ratio (PAPR) in an orthogonal frequency division multiplexing (OFDM) transmission system of a wireless digital seismic detector. In the method, the PAPR of the acquired seismic data signal is reduced by combining dynamic selective mapping and companding methods, thereby reducing the requirement on a radio-frequency amplifier and improving the efficiency of the radio-frequency amplifier. Simultaneously, on the premise that the capability of reducing the PAPR is not victimized, the calculation complexity of the traditional selective mapping (SLM) algorithm is greatly reduced by using the method. The method is easy to realize and can be used for various communication systems for modulation by using OFDM.

Description

technical field [0001] The present invention relates to the field of oil and gas seismic exploration, especially the technical field of using Orthogonal Frequency Division Multiplexing (OFDM) technology for high-speed transmission of seismic signals in a wireless digital seismograph data transmission system, especially relates to a The joint improvement method of dynamic scanning selective mapping and companding is used to reduce the problem of Peak-to-Average Power Ratio (PAPR) in the transmission system. Background technique [0002] Digital seismographs used in oil and gas geophysical exploration can be divided into wired digital seismographs and wireless digital seismographs according to data transmission methods. The characteristic of the wired seismograph is that the data transmission system of the wired system needs to send instructions and transmit the collected data, which occupies a dominant position in the current field practical application. However, wired seism...

Claims

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Application Information

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IPC IPC(8): H04L27/26G08C17/02
Inventor 罗仁泽党煜蒲戈勇华
Owner SOUTHWEST PETROLEUM UNIV
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