Time delay and Doppler shift joint estimation method based on generalized Sigmoid conversion cyclic fuzzy function

A technology of Doppler frequency shift and fuzzy function, which is applied in the field of joint estimation of time delay and Doppler frequency shift, which can solve the problems of algorithm performance degradation, affecting method estimation effect, noise and so on.

Active Publication Date: 2016-10-12
DALIAN UNIV OF TECH
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Problems solved by technology

However, this method is based on the assumption that the noise obeys a Gaussian distribution. When the noise contains impulse characteristics, the performance of the algorithm will be seriously degraded or invalid.
[0003] Fractional low-order cyclic ambiguity functions based on fractional low-order statistics theory can work under impulse noise and co-channel interference at the same time,

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  • Time delay and Doppler shift joint estimation method based on generalized Sigmoid conversion cyclic fuzzy function
  • Time delay and Doppler shift joint estimation method based on generalized Sigmoid conversion cyclic fuzzy function
  • Time delay and Doppler shift joint estimation method based on generalized Sigmoid conversion cyclic fuzzy function

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Embodiment Construction

[0021] 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:

[0022] The first step is to calculate the generalized Sigmoid transform circular fuzzy function;

[0023] 1.1 Use the adjustable sigmoid transform cyclic autocorrelation formula to calculate the adjustable sigmoid transform cyclic autocorrelation of the reference signal x(t) in the time interval [-T / 2, T / 2] As shown in formula (1):

[0024] R x , T S ϵ ( τ ) = Δ lim T ...

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Abstract

The invention belongs to the technical field of cyclic smooth signal processing, and provides a time delay and Doppler shift joint estimation method based on a generalized Sigmoid conversion cyclic fuzzy function. The method is characterized by comprising the steps of respectively getting the adjustable Sigmoid conversion cyclic autocorrelation of a reference signal, the adjustable Sigmoid conversion cyclic autocorrelation of a signal to be detected, the adjustable Sigmoid conversion cyclic autocorrelation between the reference signal and the signal to be detected, and the adjustable Sigmoid conversion cyclic autocorrelation between the signal to be detected and the reference signal; and then getting the generalized Sigmoid conversion cyclic fuzzy function and an absolute value thereof, searching horizontal and vertical coordinates corresponding to the maximal value of the absolute value, and acquiring the estimated value of time delay and Doppler shift. Experiments show that the method can accurately estimate the time delay and Doppler shift in the case of concurrence of pulse noise and co-channel interference, and is relatively strong in capability of pulse noise immunity.

Description

technical field [0001] The invention belongs to the technical field of cyclostationary signal processing, and relates to a method for joint estimation of time delay and Doppler frequency shift, in particular to a method for joint estimation of time delay and Doppler frequency shift using a generalized Sigmoid transform circular ambiguity function. Background technique [0002] Most communication and radar signals have cyclostationary characteristics, which can effectively remove the influence of interfering signals in the same frequency band. The circular ambiguity function is a classic method that applies the cyclostationary theory, and it has a very good effect for the joint estimation of time delay and Doppler frequency shift under co-channel interference. However, this method is based on the assumption that the noise obeys Gaussian distribution. When the noise contains impulsive characteristics, the performance of the algorithm will be seriously degraded or invalid. [...

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Application Information

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IPC IPC(8): H04B1/71H04B1/719
CPCH04B1/7101H04B1/719
Inventor 邱天爽于玲栾声扬王鹏
Owner DALIAN UNIV OF TECH
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