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A Blind Extraction Method Based on Signal Cyclostationary Characteristic

A technology of cyclostationary characteristics and blind extraction, applied in the field of signal blind extraction, can solve the problems of low precision and complex analysis of cyclostationary signals, and achieve the effect of improving accuracy, simple form and small calculation amount.

Active Publication Date: 2016-04-06
XIDIAN UNIV
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Problems solved by technology

The analysis of cyclostationary signals will be more complex than that of stationary signals
Therefore, the existing blind extraction method based on the cyclostationary characteristics of the signal has the characteristics of low precision

Method used

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  • A Blind Extraction Method Based on Signal Cyclostationary Characteristic
  • A Blind Extraction Method Based on Signal Cyclostationary Characteristic
  • A Blind Extraction Method Based on Signal Cyclostationary Characteristic

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawing:

[0047] refer to figure 1 , is a flow chart of a blind extraction method based on the signal cyclostationary characteristic of the present invention. The blind extraction method based on the cyclostationary characteristic of the signal comprises the following steps:

[0048] S1: use each receiving channel of the radar to receive the source signal group, and obtain the observation signal of each receiving channel of the radar; the source signal group is composed of multiple source signals, wherein each source signal is a cyclostationary signal; then Based on the source signal group, the observed signal model is established. The specific instructions are as follows:

[0049] In step S1, the source signal group received by each receiving channel of the radar is expressed as S(t), S(t)=(s 1 (t),...,s η (t),...,s m (t)) T , where T represents the transpose of a matrix or v...

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Abstract

The invention belongs to the technical field of signal blind extraction, and particularly relates to a blind extraction method based on signal cyclostationarity characteristics. The blind extraction method based on the signal cyclostationarity characteristics comprises the following steps that S1, a source signal set is received by each receiving channel of a radar to obtain an observation signal of each receiving channel of the radar, the source signal set is composed of a plurality of source signals, each source signal is a cyclostationarity signal, and an observation signal model is built according to the source signal set; S2, a corresponding whitened matrix model is built according to the observation signal of each receiving channel of the radar to obtain a whitened signal matrix; S3, a corresponding output signal model is built according to the whitened signal matrix, and an objective function is obtained according to the second-order cyclic autocorrelation function of output signals on the cycle frequency of each source signal; S4, the output signal model enabling the objective function to be maximum is solved; S5, the output signals are obtained according to the corresponding output signal model.

Description

technical field [0001] The invention belongs to the technical field of signal blind extraction, in particular to a blind extraction method based on signal cyclostationary characteristics. Background technique [0002] Blind extraction technology refers to the method of extracting the target signal only by using the observation signal output by the transmission channel when the source signal and the transmission channel are unknown. Due to the little prior information required by the blind extraction technique, it has strong adaptability and wide application fields. [0003] Passive radar itself does not emit electromagnetic waves, but uses various communications, broadcasting and other signals as illumination sources. The specific order statistical characteristic parameters of these artificial signals often change periodically with time, and they are collectively called cyclostationary signals. If the second-order statistics of the signal change periodically with time, we ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02
CPCG01S7/2923G01S7/354
Inventor 王俊朱昀赵建奎王相入罗振
Owner XIDIAN UNIV
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