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Signal processing method and device based on compressed sensing

A compressed sensing and signal processing technology, applied in the field of communication, can solve the problems of ADC sampling rate increase, ADC sampling rate increase, non-correspondence, etc.

Inactive Publication Date: 2019-01-11
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even if the bandwidth of a certain signal is much smaller than the width of a subband, since it occupies a subband, the sampling rate of the ADC will be greatly increased
In particular, since the division of subbands is a fixed parameter of the system and does not change with the signal, the frequency band boundary of the signal usually does not correspond to the subband boundary, resulting in a signal with a frequency bandwidth smaller than one subband width often spanning two subbands. band, causing an unnecessary increase in the ADC sampling rate

Method used

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  • Signal processing method and device based on compressed sensing
  • Signal processing method and device based on compressed sensing
  • Signal processing method and device based on compressed sensing

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Experimental program
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Embodiment 1

[0087] Such as figure 2 As shown, the signal processing method based on compressed sensing provided by Embodiment 1 of the present invention includes:

[0088] S101. The receiver determines, according to the frequency spectrum distribution of the input signal, the distribution of each signal component in the baseband frequency spectrum after the input signal is mixed.

[0089]The input signal is a radio frequency signal. Since the transmission frequency bands corresponding to different operators are usually known signals, the embodiment of the present invention processes these known radio frequency signals as input signals. That is to say, the frequency band occupied by the input signal is usually a known signal. Therefore, according to the spectrum distribution of the known signal, the distribution of multiple signal components formed in the baseband spectrum after the signal is mixed can be estimated in advance. The input signal can include multiple discontinuous narrowban...

Embodiment 2

[0113] Figure 4is a schematic diagram of a signal processing device based on compressed sensing provided by an embodiment of the present invention, such as Figure 4 As shown, the signal processing device based on compressed sensing of the present invention includes: a preprocessing unit 401 , a sampling unit 402 and a reconstruction unit 403 .

[0114] The preprocessing unit 401 is configured to determine the distribution of each signal component in the baseband spectrum after the input signal is mixed according to the frequency spectrum distribution of the input signal; and the signal aliasing mode formed according to the distribution of each signal component Differently, the baseband spectrum is segmented to form a plurality of frequency segments on the baseband spectrum, and each of the frequency segments corresponds to a signal aliasing mode; and, according to the signal aliasing mode in the frequency segment , to determine the minimum sampling frequency of the input si...

Embodiment 3

[0128] Figure 5 It is a schematic diagram of the composition and structure of the signal processing device based on compressed sensing provided by this embodiment, such as Figure 5 As shown, the signal processing device based on compressed sensing of the present invention includes: a processor 501 , a transceiver 502 and a memory 503 .

[0129] The processor 501 may be a single-core or multi-core central processing unit (Central Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. circuit.

[0130] The transceiver 502 is used to interact with other devices and receive input signals.

[0131] The memory 503 is used to store programs.

[0132] The processor 501 invokes the program stored in the memory 503 to execute:

[0133] According to the spectrum distribution of the input signal, determine the distribution of each signal ...

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Abstract

The invention relates to a signal processing method and device based on compressed sensing. The method includes: determining the distribution of each signal component in the baseband spectrum after mixing the input signal according to the spectrum distribution of the input signal; according to the Depending on the different signal aliasing modes formed by the distribution of each signal component, the baseband spectrum is segmented to form multiple frequency segments; based on the signal aliasing modes within the frequency segments, the lowest sampling frequency of the input signal is determined , and the input signal is sampled with a sampling frequency greater than the lowest sampling frequency to obtain a sampling signal; the corresponding signal components are restored in each frequency band of the plurality of frequency bands according to the sampling signal, and will be The signal components recovered from each frequency band are spliced ​​to complete the recovery of the input signal. The invention can process more narrowband signals at a lower sampling rate and can flexibly process various sparse signals in the frequency domain.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a signal processing method and device based on compressed sensing. Background technique [0002] When the signal is sparse, the sampled signal often contains a large amount of redundant information, and the sampled signal must be compressed before the signal is stored and transmitted. Therefore, in 2006, Terence Tao et al. and Donoho proposed the concept of compressed sensing at the same time, that is, the sampling process and the signal compression process are combined, and the minimum sampling rate is determined according to the sparseness of the source signal directly during sampling. Compressive sensing is the theory of signal reconstruction using sparse or compressible signals. The key to the realization of compressed sensing is that the collected sample points can contain as much information as possible of the source signal, that is, the domain formed by the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B1/06
CPCH03M1/1255H03M7/3062H04B1/66
Inventor 孔翔鸣朱胡飞
Owner HUAWEI TECH CO LTD