Method for suppressing peak-to-average ratio of orthogonal frequency division multiplexing (OFDM) signals

Abstract

The invention discloses a method for suppressing the peak-to-average ratio of orthogonal frequency division multiplexing (OFDM) signals. The method includes the following steps that: (1) inputted serial data signals are converted into parallel signals at a signal transmitting end, so that a parallel signal sequence can be obtained; (2) the obtained parallel signal sequence is multiplied by a constructed precoding matrix, so that a peak-to-average ratio-suppressed precoded signals can be obtained; (3) a cyclic prefix is added to the precoded signals, companding processing is performed through using a segmented exponential companding function, so that the peak-to-average ratio of the companded signals can be further suppressed; and (4) parallel-to-serial conversion is performed on the companded signal sequence at the signal transmitting end, so that orthogonal frequency division multiplexing (OFDM) transmission signals can be obtained. The method of the invention is low in complexity, can significantly reduce the signal-to-average ratio of the signals without decreasing the bit error rate of the received signals, and can improve the performance of a communication system.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a method for suppressing peak-to-average ratio of Orthogonal Frequency Division Multiplexing (OFDM) signals in the technical field of wireless communication. A major defect of Orthogonal Frequency Division Multiplexing OFDM is that the signal peak-to-average average power ratio PAPR (Peak-to-Average Power Ratio, referred to as peak-to-average ratio) is too large, the present invention combines precoding technology and segmented exponential companding technology The peak-to-average ratio of OFDM signals can be suppressed. Background technique [0002] Orthogonal Frequency Division Multiplexing (OFDM) technology is widely used in various digital transmissions and communications today because of its high spectral efficiency, excellent anti-multipath capability, and low implementation complexity. Application scenarios include 4G wireless communication system, power line ...

AI Technical Summary

Problems solved by technology

However, the disadvantages of this method are: first, due to the nonlinear companding process, the bit error rate performance loss of the system is relatively large; second, the nonlinear operation leads to serious out-of-band spectrum expansion

Third, since Hadamard transform and fast Fourier transform are performed on the signal separately, the computational complexity of this method is relatively high

However, the disadvantages of this method are: first, because the sub-exponential companding technology is a nonlinear processing process, it will cause out-of-band distortion and spectrum leakage of the system signal; second, due to the nonlinear With the introduction of operation, the bit error rate performance of the system will be reduced, especially when the system channel is a Rayleigh fading channel

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