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Estimation of arrival angle of narrowband frequency modulation signal based on time frequency analysis during data loss

A technology of data loss and narrow-band frequency modulation, which is applied in spectrum analysis/Fourier analysis, direction finder using radio waves, etc., to suppress noise-like effects and reduce the effect of cross-terms

Active Publication Date: 2016-06-15
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, taking into account the influence of the noise-like effect caused by the lack of data in the entire time-frequency domain, improving the existing adaptive optimal kernel function to obtain a multi-sensor based automatic Adapt to the optimal kernel function, and improve the compressed sensing model to obtain clearer time-frequency distribution information, and finally obtain a method for estimating the angle of arrival based on time-frequency analysis of narrow-band FM signals when data is missing. Using this method can better suppress class noise

Method used

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  • Estimation of arrival angle of narrowband frequency modulation signal based on time frequency analysis during data loss
  • Estimation of arrival angle of narrowband frequency modulation signal based on time frequency analysis during data loss
  • Estimation of arrival angle of narrowband frequency modulation signal based on time frequency analysis during data loss

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Embodiment 1

[0038] The present invention is a method for estimating the angle of arrival based on time-frequency analysis of narrowband FM signals when data is missing. Referring to Fig. 1, the angle of arrival estimation process includes the following steps:

[0039] (1) Obtain the time-frequency distribution of the narrowband FM signal when the data is missing: When estimating the data missing and analyzing the angle of arrival of the narrowband FM signal based on time-frequency analysis, noise, attenuation and various obstacles will cause data loss, see Figure 2, Figure 2 It is the distribution map of different stages in the process of improving the time-frequency distribution of the narrow-band FM signal based on the time-frequency distribution of the improved kernel function when the data is obtained by using the present invention. The input signal-to-noise ratio is 10dB, and 60% of the data samples are randomly missing. In Fig. 2, the noise-like is gradually obtained suppressed. Fig...

Embodiment 2

[0048] When the data is missing, the method for estimating the angle of arrival of the narrowband FM signal based on time-frequency analysis is the same as that in Embodiment 1.

[0049] In step (2), reduce the cross term and suppress the noise-like effect, improve the adaptive optimal kernel function, obtain an adaptive optimal kernel function based on multiple sensors, and obtain clearer time-frequency distribution information, including Follow the steps below:

[0050] (2.1) Optimize the adaptive kernel function of the existing single sensor to obtain the adaptive optimal kernel function of the single sensor

[0051]

[0052] in

[0053]

[0054] Where α is a fixed parameter, α>=0, γ and ψ are the radius and included angle of the fuzzy function and kernel function in polar coordinates respectively, A(r,ψ) is the fuzzy function on a single sensor, and the fuzzy function in polar coordinates The function is obtained by direct calculation of the polar sample or by in...

Embodiment 3

[0063] The method for estimating the angle of arrival based on time-frequency analysis narrow-band FM signal during data absence is the same as embodiment 1-2, and the process of obtaining narrow-band FM signal based on the time-frequency distribution of improved kernel function when data is missing described in step (4) comprises:

[0064] (4.1) Calculate the average value of each item of the instantaneous autocorrelation function vector expression when the data is missing: and C respectively [t] , W [t] and ∈ [t] , where t∈[1,...,T], where Φ is a one-dimensional Fourier transform matrix with respect to frequency f, C [t]is the instantaneous autocorrelation function, specifically, it is a vector composed of all instantaneous autocorrelation functions whose time is t and the time interval is τ, W [t] is a vector composed of all time-frequency discrete distributions of frequency items at the same time t, ∈ [t] is the added noise vector;

[0065] (4.2) From the Fourier...

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Abstract

The invention discloses the estimation of the arrival angle of a narrowband frequency modulation signal based on time frequency analysis during data loss, and overcomes a technical difficulty that the estimation of an arrival angle is not accurate because of data loss. The implementation process of the estimation comprises the steps: obtaining the time frequency distribution of the narrowband frequency modulation signal during data loss; reducing cross terms and inhibition-type noise through a multi-sensor adaptive optimal core function; obtaining another expression of an instantaneous autocorrelation function; carrying out the building of a compressed sensing model, and obtaining the time frequency distribution of a core function; and obtaining the estimation value of the arrival angle of the narrowband frequency modulation signal based on the time frequency analysis during data loss through employing an STF-MUSIC algorithm. The method reduces the cross terms and the inhibition-type noise, enables the average value of time frequency distribution to be more stable, and obtains a higher-resolution estimated arrival angle. The invention provides the more accurate method for estimating the arrival angle of the narrowband frequency modulation signal based on time frequency analysis during data loss, and the method can be widely used in the fields of radar, sonar, communication and biomedicine.

Description

technical field [0001] The invention belongs to the technical field of digital signal processing, and mainly relates to a method for calculating the angle of arrival estimation of narrow-band frequency-modulated signals based on time-frequency analysis in the case of missing data, in particular to an estimation method of angle-of-arrival of narrow-band frequency-modulated signals based on time-frequency analysis when data is missing. It can be widely used in many fields such as radar, sonar, communication and biomedicine. Background technique [0002] When performing spatial spectrum estimation, high-resolution angle of arrival (DOA) estimation is a very important technical method, which is widely used in radar, sonar, communication and biological fields. In these fields, noise, attenuation, and various obstacles will damage the sampling signal. After removing these damaged signals, the obtained signal cannot be fully displayed in the space-time domain. Therefore, researcher...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16G01S3/02
CPCG01R23/16G01S3/02
Inventor 郭亮王锦杨庆华韩亮曾晓东
Owner XIDIAN UNIV
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