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64 results about "Clipping noise" patented technology

Method for solving high papr problem of mcm communication system using unitary transform

The method contains the following steps. First, in a MCM system with N sub-carriers, the baseband signal blocks Xj, j=1, 2, . . . ,B are supplemented with zeros and processed with LN-point IFFT, respectively, to obtain L-time oversampled time-domain signal blocks xj, j=1,2, . . . ,B. Then, xj undergoes Q Time Domain Circular Shifts or Frequency Domain Circular Shifts to obtain Q signal blocks {tilde over (x)}j(i<sub2>j< / sub2>), ij=1,Λ,Q. Subsequently, a B×B unitary transform is performed against ( x1,{tilde over (x)}2(i<sub2>2< / sub2>), . . . ,{tilde over (x)}B(i<sub2>B< / sub2>)). After the unitary transform, for each (i2, . . . ,iB) a combination having B time-domain signal blocks is obtained as follows: ({tilde over (y)}1(i<sub2>2< / sub2>, . . . ,i<sub2>B< / sub2>),{tilde over (y)}2(i<sub2>2< / sub2>, . . . ,i<sub2>B< / sub2>), . . . ,{tilde over (y)}B(i<sub2>2< / sub2>, . . . ,i<sub2>B< / sub2>)=( x1,{tilde over (x)}2(i<sub2>2< / sub2>), . . . ,{tilde over (x)}B(i<sub2>B< / sub2>)) cU where U is the B×B unitary matrix, and c is an arbitrary constant (c≠0). Finally, the total QB-1 combinations are compared against each other to select a best candidate for transmission that could produce the lowest peak value, or the smallest PAPR, or the lowest clipping noise power.
Owner:NAT TAIWAN UNIV

Symbol detection method of DCO-OFDM (Direct Current Offset-Orthogonal frequency Division Multiplexing) system

The invention discloses a symbol detection method of a DCO-OFDM (Direct Current Offset-Orthogonal frequency Division Multiplexing) system, belonging to the field of visible light wireless communication. The method is carried out according to the following steps of firstly, preprocessing a received symbol r(n) to obtain an estimated value x(clip)n of a clipped sending signal; secondly, reconstructing clipping noise c(n) and subtracting the clipping noise from the signal x(clip)n to obtain an estimated value x(clip)n of an unclipped sending signal; thirdly, carrying out frequency domain conversion and symbol judgment operation on the x(n), and reconstructing the clipping noise c(n) by utilizing a judged symbol; fourthly, repeating the steps to reach a preset number of iterations; and lastly, demodulating the judged symbol to restore transmitted bits. According to the symbol detection method provided by the invention, the negative effect of the clipping noise on the detection performance can be reduced, an effective signal to noise ratio of a receiving signal is increased, in comparison with the conventional symbol detection method, the better detection performance can be obtained. Meanwhile, the method provided by the invention only needs simple symbol taking operation and DFT/IDFT (Discrete Fourier Transform/Inverse Discrete Fourier Transform) operation and has the advantages of small calculated amount and easiness in implementation.
Owner:SOUTHEAST UNIV

Method for solving high PAPR problem of MCM communication system using unitary transform

The method contains the following steps. First, in a MCM system with N sub-carriers, the baseband signal blocks Xj, j=1, 2, . . . ,B are supplemented with zeros and processed with LN-point IFFT, respectively, to obtain L-time oversampled time-domain signal blocks xj, j=1,2, . . . ,B. Then, xj undergoes Q Time Domain Circular Shifts or Frequency Domain Circular Shifts to obtain Q signal blocks {tilde over (x)}j(i<sub2>j< / sub2>), ij=1, Λ, Q. Subsequently, a B×B unitary transform is performed against ( x1, {tilde over (x)}2(i<sub2>2< / sub2>), . . . , {tilde over (x)}B(i<sub2>B< / sub2>)). After the unitary transform, for each (i2, . . . , iB) a combination having B time-domain signal blocks is obtained as follows: ({tilde over (y)}1(i<sub2>2< / sub2>, . . . , i<sub2>B< / sub2>), {tilde over (y)}2(i<sub2>2< / sub2>, . . . , i<sub2>B< / sub2>), . . . , {tilde over (y)}B(i<sub2>2< / sub2>, . . . ,i<sub2>B< / sub2>))=( x1, {tilde over (x)}2(i<sub2>2< / sub2>), . . . , {tilde over (x)}B(i<sub2>B< / sub2>)) cU where U is the B×B unitary matrix, and c is an arbitrary constant (c≠0). Finally, the total QB−1 combinations are compared against each other to select a best candidate for transmission that could produce the lowest peak value, or the smallest PAPR, or the lowest clipping noise power.
Owner:NAT TAIWAN UNIV

Clipping noise estimation and elimination method based on compressive sensing and device thereof

The invention provides a clipping noise estimation and elimination method based on compressive sensing and a device thereof. The method comprises the steps that coarse estimation is performed on the position of clipping noise according to time domain signal frames so that prior information of the position of clipping noise is obtained; discrete Fourier transform is performed on the time domain signal frames and a frequency domain observation sequence is obtained, a frequency domain estimation sequence and a noise estimation sequence are obtained according to the frequency domain observation sequence, a selection matrix is obtained according to choice criteria and an observation vector and an observation matrix are obtained according to the selection matrix; a target vector is estimated by adopting a compressive sensing algorithm based on prior information auxiliary so that a clipping noise sequence is obtained; and the clipping noise sequence is subtracted from the currently received time domain signal frames so that the signal frames after elimination of clipping noise signals can be obtained. According to the clipping noise estimation and elimination method based on compressive sensing, clipping noise in an OFDM system can be accurately estimated through relatively low complexity under a peak limited channel so that dynamic range of the signals can be effectively expanded, receiving signal quality can be enhanced and system robustness can be enhanced.
Owner:TSINGHUA UNIV
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