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Structured Sub-Nyquist Rate Sampling Method for Finite Innovation Rate Signals

A technology of signal structure and innovation rate, applied in the field of signal processing, can solve the problems of large system complexity and difficult hardware implementation.

Active Publication Date: 2017-07-04
FUZHOU UNIVERSITY
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Problems solved by technology

This technical solution has certain defects: the number of channels of the system is proportional to the number of unknown parameters to be detected by the system, that is, P≥2K. When the number of system parameters is large, the complexity of the system is extremely high, and it is difficult to implement on the hardware.

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] This embodiment provides a structured sub-Nyquist rate sampling method for finite innovation rate signals, which constructs a sampling coprime filter bank according to the waveform structure and innovation rate of the signal, and compresses and encodes the parameter information of the input signal , and then sample the filtered signal at an ultra-low sampling rate twice the signal innovation rate, and decode the sampled samples according to the multidimensional Chinese remainder sampling theorem.

[0038] See figure 2 , figure 2 In this embodiment, a multi-channel coprime frequency frequency-domain expansion sampling system is used to sample s(t). The sampling system consists of P sets of filter banks, each of which contains L p (L p is a prime number greater than 1) filters. Among them, the impulse response function of the mth filter of t...

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Abstract

The invention relates to a finite rate of innovation signal structuring Nyquist rate sampling method. The finite rate of innovation signal structuring Nyquist rate sampling method is characterized in that constructing a sampling rate co-prime filter bank according to a waveform structure and a finite rate of innovation of a signal, subjecting parameter information of the input signal to compressed encoding, sampling the filtered signal by using an ultralow sampling rate which is twice the finite rate of innovation, and decoding the sample according to a multi-dimensional Chinese remainder sampling theorem. A frequency domain sampling system based on the finite field algebraic coding method is expected to collect and process signals at a lower sampling rate.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a low-rate sub-Nyquist rate sampling method for an analog broadband signal with a limited innovation rate. Background technique [0002] Sub-Nyquist rate sampling is a method of compressed sampling where the sampling rate is less than twice the bandwidth of the signal. Existing sub-Nyquist rate sampling methods include analog-to-information converters and modulated broadband converters. These sampling methods first assume that the broadband signal has sparse or block-sparse characteristics on the Fourier transform basis, then design a reasonable observation matrix according to its sparsity, and obtain the sub-Nyquist of the signal through a low-rate analog-to-digital conversion module rate samples, and finally use the nonlinear optimization algorithm to reconstruct the Nyquist rate samples to complete the signal sampling process. The sub-Nyquist rate sampling method c...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 钱慧
Owner FUZHOU UNIVERSITY
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