Compressed sampling signal detection method based on modulated wideband converter

A technology that compresses sampling and modulates broadband. It is used in transmission monitoring, electrical components, transmission systems, etc., and can solve problems such as system burden.

Active Publication Date: 2016-04-20
HARBIN ENG UNIV
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Problems solved by technology

When the signal sampling and receiving technology remains unchanged, a large bandwidth means that there will be a large amount of data. If the broadband direct sampling technolo...

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  • Compressed sampling signal detection method based on modulated wideband converter
  • Compressed sampling signal detection method based on modulated wideband converter
  • Compressed sampling signal detection method based on modulated wideband converter

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with accompanying drawing:

[0043] According to the compressed sampling theory, the present invention utilizes the distribution of the eigenvalues ​​of the sampled data covariance matrix to detect whether the signal exists or not. Now the bandwidth of broadband systems such as passive radar, electronic reconnaissance, etc. is getting larger and larger, and the traditional signal detection method based on it needs a lot of sampling points, but the present invention uses a modulated wideband converter (MWC) structure for data sampling, and obtains the sampling points Data covariance matrix and eigenvalue decomposition; according to the linear distribution characteristics of Gaussian white noise covariance matrix eigenvalues, use the correlation coefficient of eigenvalues ​​to construct the judgment criterion of signal detection. The simulation results show that the structure and method of the present in...

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Abstract

The invention relates to the field of signal sampling and signal detection, and in particular relates to a compressed sampling signal detection method based on a modulated wideband converter which detects the signals after obtaining the sampling value of a sub-Nyquist sampling rate through compressed sampling passive radar and electronic reconnaissance signals. The method comprises the steps of setting parameter, processing the signal entering an MWC structure with M parallel channels; computing the covariance matrix of a sampling matrix; getting the characteristic value of the covariance matrix and normalizing; computing the correlation coefficient of the normalization characteristic value; and judging whether the signal exists according to the obtain correlation coefficient and a threshold. With the application of the compressed sampling signal detection method based on the modulated wideband converter into the detection of broadband signals, the sub-Nyquist sampling can be ensured, and less data is used for storing under the premise of ensuring that the target can be detected out, and thereby the storage resources of a receiver are saved.

Description

technical field [0001] The present invention relates to the field of signal sampling and signal detection, in particular to a kind of compression sampling based on modulated broadband converter for obtaining the sampling value of sub-Nyquist sampling rate by compressing sampling for signals of passive radar and electronic reconnaissance, and then performing signal detection Signal detection method. Background technique [0002] With the development of radar technology, the bandwidth of the signal in the radar system is getting bigger and bigger, especially in the application of passive radar and electronic reconnaissance system, the signal bandwidth has reached GHz level. When the signal sampling and receiving technology remains unchanged, a large bandwidth means that there will be a large amount of data. If the broadband direct sampling technology is used for it, a large amount of data will be generated, and the storage, transmission and processing of the large amount of da...

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Application Information

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IPC IPC(8): H04B17/345
Inventor 陈涛柳立志李润泽陈亚王艳龙崔岳寒
Owner HARBIN ENG UNIV
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