Modulated wideband converter (MWC)-based support set quick recovery method
A fast recovery and support set technology, applied in the direction of electrical components, code conversion, etc., can solve the problems of increasing recovery time, reducing recovery time, time-consuming, etc.
Inactive Publication Date: 2017-11-07
SICHUAN UNIV
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Problems solved by technology
In the CTF recovery module, there are two places that are time-consuming. One is the process of solving the matrix V through the matrix Q. Because it needs to decompose the eigenvalues of the matrix Q, it is time-consuming. The other is the MWC recovery algorithm (M- OMP), because the sampling value matrix is multi-column, which will increase the recovery time, so you can start from these two places to reduce the recovery time
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[0018] figure 1 It is a flow chart of the support set fast recovery method based on MWC. The specific implementation scheme of the present invention is divided into three steps. figure 1 Elaborated as follows:
[0019] step one: figure 2 is the functional block diagram of MWC, by converting the original signal containing N sub-bands Input into m channels respectively, and the pseudo-random sequence Perform frequency mixing to diffuse the spectral information in the frequency band to the entire frequency band. At this time, the baseband contains all the spectral information, and the low-pass filter is used Filter out the information in the baseband, because there is no high-frequency component, the existing ADC sampler can be equally spaced sampled matrix of measurements of size , its expression is as follows;
[0020]
[0021] Step 2: Add the n columns of the measured value matrix to a matrix with only 2N columns instead of a matrix with other columns. For ex...
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The invention provides a modulated wideband converter (MWC)-based support set quick recovery method, aiming to solve problems that construction of a CTF module in an MWC system and the recovery method consume a lot of time. The method comprises a first step of acquiring a measurement value matrix y[n], that is, undersampling an original signal according to an MWC undersampling system so as to obtain the measurement value matrix; a second step of acquiring a new measurement value matrix w[2N], that is, according to a number of matrix columns in y[n] and a number N of prior knowledge sub-bands, adding each column in y[n] to obtain the matrix w[2N] with 2N columns; and a third step of recovering an original support set by using an OMP algorithm. Through adoption of the method, the reconstruction rate is not lowered substantially, further, the CTF module is constructed faster and the original support set is recovered at a faster speed.
Description
technical field [0001] The invention belongs to the technical field of crossing blind spectrum signal processing and compressed sensing, and specifically constructs a fast recovery method of a support set based on an MWC system when the number of sub-frequency bands is small. Background technique [0002] The Nyquist sampling theorem shows that when the sampling rate is greater than twice the maximum frequency of the signal, the original signal can be perfectly restored, otherwise aliasing will occur. Currently popular down-sampling technologies mainly include analog demodulation, periodic non-uniform sampling, digital down-conversion, etc., but these technologies cannot fundamentally solve the bottleneck of sampling. The signal processing has broken through the bottleneck of twice the sampling rate of the traditional Nyquist sampling theorem. At the beginning, the research focus was on the theoretical research of compressed sensing, that is, the research on the perceptual ...
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Login to View More IPC IPC(8): H03M7/30
CPCH03M7/3062
Inventor 李智符博娟李健
Owner SICHUAN UNIV