OFDM Communication Apparatus Reducing PAPR via Subdata Series Segmentation
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Solution Overview
Problem
In OFDM communication, the increasing number of subcarriers leads to high Peak-to-Average Power Ratio (PAPR), requiring amplifiers with wide linearity to prevent distortion, and existing techniques struggle to effectively reduce PAPR and control its degree of reduction.
Innovation Solution
A communication apparatus and method that divides data series into subdata series with autocorrelation properties, applies amplitude coefficients and unique numbers, and rearranges them based on specific patterns, followed by inverse Fast Fourier Transformation and equalization coefficients to generate a baseband signal, thereby reducing PAPR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of subcarriers is increased to increase the FFT size, then the data transmission capacity is improved, but the PAPR of the baseband signal increases
Solution Approach 1:
The data series is divided into multiple subdata series, each being a subset of the original data. This segmentation allows independent processing of each subdata series with different amplitude coefficients, enabling PAPR reduction while maintaining overall data transmission capacity
Solution Approach 2:
Different amplitude coefficients are applied to different subdata series based on their individual characteristics. This local optimization approach allows each subdata series to be processed with the most appropriate coefficient, achieving effective PAPR reduction across the entire signal
2Object-generated harmful factors
If existing phase control techniques are used to reduce PAPR, then the PAPR reduction is achieved, but the degree of reduction cannot be controlled and the complexity increases
Solution Approach 1:
The invention changes the parameter from phase control to amplitude coefficient control. By adjusting the amplitude coefficients of different subdata series, the PAPR reduction degree can be precisely controlled without requiring complex iterative calculations, simplifying the overall control mechanism
Data Source
AI summary
A series generator divides a data series having an autocorrelation property equally into a certain number to generate subdata series. A modulator multiplies a predetermined amplitude coefficient and a unique number by each element of the subdata series, respectively, and rearranges the subdata series and synthesizes the rearranged subdata series to generate the modulation data. An IFFT unit performs an IFFT on the modulation data. The calculator divides the calculation result equally into the certain number to generate the sub calculation results, and multiplies an equalization coefficient by each element of the sub calculation results. A synthesizer generates a baseband signal by arranging the sub calculation results, so that an arranged position corresponds to a position at the time of being divided equally, and synthesizing the arranged result. A transmitter generates the transmission signal and transmits it to another apparatus via an antenna.