SUB-NYQUIST SAMPLER UTILIZING ALIASING AND METHOD FOR CONTROLLING THE SAME

摘要

The present invention relates to an apparatus and method for acquiring a communication signal using a sub-Nyquist sample, and more particularly, to a method and apparatus for acquiring a lossless signal The present invention relates to a communication signal obtaining apparatus and a communication signal obtaining apparatus for reducing a sampling rate required for a communication signal obtaining apparatus, and a communication signal obtaining apparatus and a communication signal obtaining apparatus. The communication signal obtaining apparatus includes a signal compressing unit for receiving a compressed analog signal, Wherein the signal compressing unit receives the analog signal, mixes the analog signal received from each of the plurality of analog channels with a pseudo-random binary sequence (PRBS) signal to generate a mixed signal, After passing through a low-pass filter that deliberately causes aliasing, a low-speed analog digital switch And the signal restoring unit frequency-modulates the compressed sample signal in a plurality of digital channels corresponding to each of the plurality of analog channels, downsamples the signal through a digital low-pass filter, Generates an output signal by combining the output spectrums output from each of the digital channels, and determines an input signal based on the output signal and spectral information of PRBS already known, and the sampling rate in analog to digital conversion is Q / p times the repetition rate of the PRBS signal, the passband frequency of the analog channel low-pass filter is p times the sampling rate in analog-to-digital conversion, q is an odd number greater than p, p is an integer greater than 1, p and q Are analogous to each other and acquire communication signals in which aliasing occurs when analog-to-digital conversion is performed , Which relieves the dependence of PRBS on the length of the binary pattern at the sampling rate required by the MWC, thereby reducing the frequency interval to fragment the input spectrum without being significantly affected by the performance of the PRBS. By reducing the sampling rate, it is possible to maximize the efficiency of the sub-Nyquist sampling rate.