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Carrier frequency estimation method based on circular correlation entropy

A technology related to entropy and cycle frequency, applied in computing, special data processing applications, instruments, etc., can solve the problems of inaccurate carrier frequency estimation and performance degradation

Active Publication Date: 2016-02-03
DALIAN UNIV OF TECH
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Problems solved by technology

[0002] Traditional carrier frequency estimation methods are mainly based on the frequency spectrum or power spectrum of stationary signals, but when there is co-band interference, such methods cannot accurately realize the function of carrier frequency estimation
In order to solve this problem, researchers proposed a carrier frequency estimation method based on cyclic correlation spectrum, which partially solved the problem of carrier frequency estimation under the same-band interference condition for the first time, but this type of method has defects due to its heavy dependence on the assumption of Gaussian noise , when the noise model does not obey the Gaussian distribution, the performance of such methods is seriously degraded

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  • Carrier frequency estimation method based on circular correlation entropy
  • Carrier frequency estimation method based on circular correlation entropy
  • Carrier frequency estimation method based on circular correlation entropy

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Embodiment Construction

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The overall algorithm flow chart is as follows figure 1 Shown:

[0019] The first step is to calculate the circular correlation entropy of the signal to be estimated.

[0020] (1) According to the formula V x (t,τ)=E[κ σ (x(t)-x(t+τ))] calculates the relative entropy of the signal, where:

[0021] x(t) is the signal, τ represents the delay of the signal, and E represents the mathematical expectation operator;

[0022] к σ Represents the Gaussian kernel function, κ σ ( · ) = 1 2 π ...

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Abstract

The invention belongs to the technical field of circular stationary signal processing and provides a carrier frequency estimation method based on circular correlation entropy. The method comprises steps of calculating signal relative entropy and circular relative entropy through a formula, calculating circular relative entropy-spectrum via a formula, acquiring a signal circular relative entropy-spectrum projection, and estimating signal carrier frequency corresponding to a circular relative entropy-spectrum projection peak based on a relationship between a modulation system and circular frequency. The experiment proves great calculation performance of the carrier frequency estimation method; and signal carrier frequency can be estimated under a condition of coexistence of non-gaussian noise and same-frequency band interference.

Description

technical field [0001] The invention relates to the technical field of cyclostationary signal processing, to a modulation signal carrier frequency estimation method, in particular to a carrier frequency estimation method based on cyclic correlation entropy. Background technique [0002] Traditional carrier frequency estimation methods are mainly based on the frequency spectrum or power spectrum of stationary signals, but when there is co-band interference, such methods cannot accurately realize the function of carrier frequency estimation. In order to solve this problem, researchers proposed a carrier frequency estimation method based on cyclic correlation spectrum, which partially solved the problem of carrier frequency estimation under the same-band interference condition for the first time, but this type of method has defects due to its heavy dependence on the assumption of Gaussian noise , when the noise model does not obey the Gaussian distribution, the performance of s...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 邱天爽栾声扬王鹏李景春谭海峰鲍尧杨文翰朱永杰戚寅哲马济通史益新
Owner DALIAN UNIV OF TECH
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