Slicing noise estimation and elimination method and device based on compressed sensing
A technology of clipping noise and compressed sensing, applied in the field of digital signal transmission, it can solve the problems of reducing computational complexity, loss of spectral efficiency, and influence of algorithm effect, so as to improve the quality of the received signal, expand the dynamic range, and improve the robustness of the system. Effect
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Embodiment 1
[0046] This embodiment specifically discloses a method for estimating and restoring compressed sensing clipping noise based on prior information that can be applied in a CP-OFDM system (without considering virtual subcarriers), the method includes:
[0047] combine figure 2 and image 3 , in this embodiment, the frame body of the transmitted signal frame is an OFDM data block, the number of OFDM subcarriers is N=128, the frame header is the cyclic prefix of the frame body OFDM data block, and the received time-domain signal frame body OFDM data block is denoted as
[0048] S101: Roughly estimate the position of the clipping noise according to the currently received time-domain signal frame, so as to obtain the prior information of the position of the clipping noise, specifically:
[0049] Calculate the modulus of the sampling point of the received time-domain signal frame, and extract a plurality of sampling point positions with the largest modulus value as the prior infor...
Embodiment 2
[0079] This embodiment specifically discloses a method for estimating and restoring compressed sensing clipping noise based on prior information that can be applied in a CP-OFDM system (considering virtual subcarriers), the method includes:
[0080] combine figure 2 and image 3 , in this embodiment, the frame body of the transmitted signal frame is an OFDM data block, the number of OFDM subcarriers is N=128, the frame header is the cyclic prefix of the frame body OFDM data block, and the received time-domain signal frame body OFDM data block is denoted as
[0081] S1: Roughly estimate the position of the clipping noise according to the currently received time-domain signal frame, so as to obtain the prior information of the position of the clipping noise, specifically:
[0082] Take the modulus value of the sampling points of the received time-domain signal frame, and use the positions of 3%*N sampling points with the largest modulus as the prior information of the clippi...
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