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Frequency estimation method for low-signal-to-noise-ratio real signal

A frequency estimation and low signal-to-noise ratio technology, applied in the field of frequency estimation of low signal-to-noise ratio real signals, can solve problems such as poor estimation effect, achieve good filtering effect, reduce cross-terms, and high accuracy

Inactive Publication Date: 2017-12-19
NANKAI UNIV
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing real sine signal frequency estimation method is not good when the estimation effect is lower than 0dB, and propose a brand-new design method——a low signal-to-noise ratio real signal frequency estimation method based on Wegener distribution

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  • Frequency estimation method for low-signal-to-noise-ratio real signal

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Embodiment 1

[0043] The specific steps of the low SNR real signal frequency estimation method based on Wegener distribution provided by the present invention are as follows:

[0044] 1. Sampling and compressing the real signal with noise and low signal-to-noise ratio, and encoding it with FM modulation;

[0045] 2. Calculation of the length of the pseudo-Wegener distribution window function;

[0046] 3. Peak filtering of real signals with low signal-to-noise ratio based on Wegener distribution, improving the signal-to-noise ratio of real signals, and decompressing the peak-filtered signal;

[0047] 4. Estimation of real signal frequency based on Wegener distribution.

[0048] In order to verify the effectiveness of the real signal frequency estimation method, a computer simulation is carried out on the method.

[0049] Design requirements: use the given design indicators, including signal-to-noise ratio SNR=-8dB, signal frequency f p =50HZ, sampling frequency f s =2560HZ, number of sam...

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Abstract

The invention firstly provides a frequency estimation method for a low-signal-to-noise-ratio real signal. According to the method of the invention, pseudo Wegener distribution is utilized for filtering the low-signal-to-noise-ratio real signal; and then Wegener distribution is utilized for generating signal frequency estimation. According to the estimation method, the real signal is compressed before time frequency analysis, thereby preventing spectrum aliasing, improving estimation accuracy and improving stability. Simulation results represent a fact that on the condition of the same signal-to-noise ratio, the frequency which is estimated according to the frequency estimation method is closer to the real frequency than that of home-and-abroad best designing method, and furthermore lower mean square error is realized.

Description

technical field [0001] The invention belongs to the technical field of digital signal processing, and in particular relates to a frequency estimation method for real signals with low signal-to-noise ratio based on Wigner distribution and FM modulation design. Background technique [0002] With the rapid development of information technology and the improvement of integrated circuit production, digital signal processing technology is widely used in various fields because of its advantages of flexibility, speed and accuracy. In the process of digital signal processing, it is very important to estimate the parameters of the sinusoidal signal polluted by noise. It has great applications in the fields of radar, sonar, communication, voice signal processing, biomedical engineering, and detection. value. In many practical engineering applications, the acquired signal sample point values ​​are all real numbers, such as speech signals. Since the real sinusoidal signal has a "negati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/02
CPCG01R23/02
Inventor 赵加祥刘亚南王增科
Owner NANKAI UNIV
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