An improved shortest path underdetermined source signal recovery method

A technology of shortest path and source signal, applied in the field of radar reconnaissance, it can solve the problems of extremely high sparsity of source signal, long calculation time, and many data sampling points, and achieves good signal recovery effect, simple algorithm steps and principle. clear effect

Inactive Publication Date: 2019-02-15
STATE KEY LAB OF COMPLEX ELECTROMAGNETIC ENVIRONMENTAL EFFECTS ON ELECTRONICS & INFORMATION SYST
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Problems solved by technology

The main problems in the application of compressed sensing theory to underdetermined blind source separation source signal recovery are that the sparsity of the source signal is extremely high, the number of data sampling points is large, and the calculation time is long

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  • An improved shortest path underdetermined source signal recovery method
  • An improved shortest path underdetermined source signal recovery method

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[0039] specific implementation plan

[0040] The embodiments of the present invention will be described in detail below in conjunction with the drawings and examples. The drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention. Invention does not constitute a limitation of the present invention.

[0041] Such as figure 1 , 2 , 3, and 4, an improved shortest path underdetermined source signal recovery method is based on the condition of the observed signal and the estimated mixing matrix. According to the theory of sparse component analysis, the problem of recovering the source signal can be solved by Transformed into solving the following optimization problem:

[0042]

[0043] In the formula, x(t) is the observed signal, the number of observed signals is m, A is the estimated mi...

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Abstract

The invention belongs to the technical field of radar reconnaissance and discloses an improved shortest path underdetermined source signal recovery method. Under the condition that the observed signalis known, Under the condition of the estimated mixing matrix, the problem of restoring the source signal according to the sparse component analysis is transformed into solving the following optimization problem: when the number of the observed signals is greater than or equal to 2, the first and m-th observed signals are combined into a two-dimensional observation signal combination according tothe steps 1 to 10; For each combination, the corresponding source signal is recovered by using the classical shortest path method, and m combinations of two-dimensional observation signals are obtained. A new matrix is formed by separating the signals from m two-dimensional observation signals, The estimation of n source signals is the source signal to be recovered. The invention can process radarsignal, communication signal, biomedical signal and the like, and realizes the recovery of underdetermined blind source separation source signal under the condition that the mixing matrix has been estimated.

Description

technical field [0001] The invention belongs to the technical field of radar reconnaissance, and further relates to an improved shortest path underdetermined source signal recovery method in the technical field of radar signal sorting. The technical scheme of the invention can process radar signals, communication signals, biomedical signals, etc., and realize the recovery of underdetermined blind source separation source signals under the condition that the mixing matrix has been estimated. Background technique [0002] Underdetermined blind source separation is a signal processing technique that estimates the source signal only by using the observed signal when the prior information of the radiation source signal and the propagation channel parameters are unknown, and the number of observed signals is less than the number of source signals. In view of its unique ability, underdetermined blind source separation has become a research hotspot in the international signal proces...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/22
Inventor 王川川麻凯利曾勇虎汪亚贾锐张静克
Owner STATE KEY LAB OF COMPLEX ELECTROMAGNETIC ENVIRONMENTAL EFFECTS ON ELECTRONICS & INFORMATION SYST
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