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A weak communication signal detection method based on cyclostationary spectrum analysis

A cyclostationary and communication signal technology, which is applied in the field of weak communication signal detection of cyclostationary spectrum analysis, can solve the problems of poor communication conditions and inability to effectively complete signal detection in signal detection methods

Active Publication Date: 2018-04-10
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing signal detection method cannot effectively complete the detection of the signal when the communication conditions are bad, that is, the signal-to-noise ratio is less than -10dB, and a weak communication signal detection method based on cyclostationary spectrum analysis is provided

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  • A weak communication signal detection method based on cyclostationary spectrum analysis
  • A weak communication signal detection method based on cyclostationary spectrum analysis
  • A weak communication signal detection method based on cyclostationary spectrum analysis

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Embodiment Construction

[0028] In a low signal-to-noise ratio environment, taking BPSK signal detection as an example, a method for detecting a weak communication signal based on cyclostationary spectrum analysis of the present invention is described and effectively evaluated.

[0029] Let the discrete BPSK signal be:

[0030]

[0031] where, s(t) is the bipolar baseband signal, f c is the carrier frequency, T s is the sampling interval, nT s is the total sampling time.

[0032]

[0033] Among them, g(t) is a rectangular pulse, T b is the symbol duration, a k is a random variable representing the amplitude of the kth symbol,

[0034] The autocorrelation function of BPSK signal is:

[0035]

[0036] According to the equation:

[0037]

[0038] Substituting formula (4) into simplification:

[0039]

[0040] Among them, R s (τ) represents the autocorrelation function of the baseband signal s(t). Let k=(m+n), from formula (5), we can see that R x (t,τ) is a periodic function t...

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Abstract

The invention discloses a weak communication signal detection method for circular smooth spectrum analysis. Distribution of circular smooth spectrum peaks of a signal is determined according to a circular smooth spectrum theory; the circular smooth spectrum peak positions of the signal are recorded; a circular smooth spectrum of a to-be-detected signal is drawn; points corresponding to the circular smooth spectrum peak positions of the signal are extracted; the variance of these points is determined and compared with a preset variance threshold; if the variance is greater than the preset threshold, the to-be-detected signal is detected as the signal; and if the variance is smaller than the preset threshold, the to-be-detected signal is detected as noise. By the weak communication signal detection method, signal detection in a bad communication condition, for example, the signal-to-noise ratio is smaller than -10dB can be achieved.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to a weak communication signal detection method for cyclostationary spectrum analysis. Background technique [0002] In modern information countermeasures, in order to be able to intercept the information of non-cooperating parties, it is necessary to complete signal detection at a low signal-to-noise ratio. In civil broadcasting and satellite communications, due to the interference of strong noise, the signal-to-noise ratio of the received signal is extremely low. In addition, the signal is easily affected by tall buildings in environments such as urban streets, indoors, forests, and canyons. The blockage further weakens the strength of the signal. In this weak signal environment, to receive the signal accurately, this requires the receiving end of the signal to have a strong ability to detect weak signals. [0003] Weak signal detection technology is a technology that spec...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/20H04B17/309
CPCH04B17/20H04B17/309
Inventor 闫坤李少鹏张华伟白玉刘毅肖海林
Owner GUILIN UNIV OF ELECTRONIC TECH
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