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Weak signal blind extraction method

A weak signal and blind extraction technology, which is applied to the recognition of patterns in signals, instruments, characters and patterns, etc., can solve problems such as algorithm failure, and achieve the effects of saving hardware costs, robustness and superior anti-interference

Active Publication Date: 2020-05-15
10TH RES INST OF CETC
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Problems solved by technology

This type of algorithm works well when the weak signal of interest is independent and only submerged in noise, but fails when the weak signal is not independent or drowned by other signals

Method used

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Embodiment Construction

[0013] refer to figure 1 . According to the present invention, first analyze the single-channel mixed model of multiple signal components and its transformed independence characteristics to solve the problem that the weak signal components of interest are independently separable; then propose and demonstrate the non-orthogonality of the MRSSA algorithm Or redundancy, to solve the problem that the pseudo multi-channel model satisfies the well-posed instantaneous linear mixed array model; finally, a weak signal blind extraction technology based on the MRSSA-ICA algorithm is given.

[0014] On the premise of source independence, a single-channel instantaneous linear mixed model x(t) is established; then the single-channel mixed signal x(t) is constructed as a matrix C with a window length L of 2, and then based on the singular spectrum analysis theory (SSA ), performing singular value decomposition on its matrix C, and through inverse Hankel transformation to obtain the singular...

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Abstract

The invention discloses a weak signal blind extraction method, and aims to provide a blind extraction method with more excellent robustness and anti-interference performance, and the method is realized through the following technical scheme: building a single-channel instantaneous linear hybrid model on the premise of independent signal sources; constructing the single-channel mixed signal into amatrix C of which the window length L is 2, performing singular value decomposition on the matrix C according to a singular spectrum analysis theory, and obtaining a time sequence corresponding to a singular value through inverse Hankel transform; continuously performing MRSSA transformation, and converting the single-channel instantaneous linear hybrid model into a multi-channel common-channel instantaneous linear hybrid model to obtain a reconstruction matrix X; after reconstruction, contructing an MRSSA-ICA filter, decomposing single-channel mixed data into a plurality of ICs, extracting interested signal components from single-channel time-frequency partially overlapped signals, and achieving common-channel blind extraction of weak signals based on MRSSA-ICA.

Description

technical field [0001] The invention relates to a weak signal extraction method suitable for full-blind conditions, especially a weak signal blind extraction technology based on a multi-resolution singular spectrum analysis-independent component analysis (multi-resolutionsingularspectrumanalysis-Independentcomponentanalysis, MRSSA-ICA) algorithm. Background technique [0002] Due to the interference of multiple signals and channels and the existence of other unstable factors during the generation and transmission of communication signals, the waveform of the received signal will be unstable, and its amplitude will become smaller and smaller, making their detection and extraction very difficult. difficulty. Weak signal detection (weak signal detection, WSD) not only refers to the signal whose useful signal amplitude is much smaller than the noise, but also refers to the signal whose absolute value of the measured useful signal amplitude is small. The traditional weak signal ...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04G06F2218/12G06F2218/08Y02D30/70
Inventor 卢广阔
Owner 10TH RES INST OF CETC
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