Weak-signal target detection optimizing method

A technology of target detection and optimization method, which is applied in the optimization field of weak signal target detection, and can solve the problem of insufficient signal-to-noise ratio

Active Publication Date: 2016-07-06
NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In terms of filtering, the linear filter can effectively filter out the noise in the signal, but the signal-to-noise ratio after filtering is not high enough. When the transfer function of the linear filter is the complex conjugate of the input signal spectrum function, the filter can give the maximum SNR

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weak-signal target detection optimizing method
  • Weak-signal target detection optimizing method
  • Weak-signal target detection optimizing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] The optimization method of weak signal target detection in the present embodiment, its flow process is as follows figure 1 As shown, the specific steps are as follows:

[0046] (1) Read the discretized input signal: x(n)n=0, 1, 2...N-1, where N is the number of sampling points of the signal x(t);

[0047] (2) Perform quadruple autocorrelation on the input signal x(n), and the quadruple correlation of the signal x(n) can be expressed as:

[0048] r xxxx (m)=r ssss (m)

[0049] That is, the quadruple correlation of the noisy signal x(n) is approximately equal to the quadruple autocorrelation of the useful signal s(n).

[0050] Realize the double correlation of input signal x(n) with Matlab language: R2m=autocorr(xn);

[0051] Quadruple correlation: R4m=autocorr(R2m);

[0052] (3) Calculate the correlation function r xxxx (m) and the spectrum of the input signal x(n):

[0053] R ( ω k ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a weak-signal target detection optimizing method specifically comprising the following steps: (1) reading a discretized input signal; (2) carrying out quadruple autocorrelation on a signal x(n); (3) calculating the frequency spectrum of a correlation function; (4) calculating the frequency spectrum of the signal x(n) according to the relationship between the frequency spectrum of the signal and the frequency spectrum of the autocorrelation function and based on the frequency spectrum of the quadruple-correlated signal; (5) calculating the transfer function of a matching filter; (6) calculating the frequency spectrum of the signal after the signal passes through the filter; (7) using multiple sinusoidal windows to estimate the frequency spectrum; and (8) reducing the frequency spectrum of the signal into a time-domain signal. According to the invention, quadruple correlation and three-spectrum analysis are used to realize signal processing in a high-order moment range, the matching filter is used to calculate the frequency spectrum of the signal after the signal is filtered by the matching filter, and the filter can give the maximum signal-to-noise ratio. By adopting multiple sinusoidal windows to estimate the frequency spectrum, a certain spectrum diagram smoothing effect is achieved, and certain frequency resolution is guaranteed.

Description

technical field [0001] The invention relates to an optimization method for weak signal target detection, belonging to the technical field of computer algorithms. Background technique [0002] Correlation detection technology is based on the characteristics that noise and noise, noise and signal are not correlated, but signal and signal are completely correlated, and a technology to remove noise through correlation operation. It has been generally proven that it is an effective method to extract useful signals from noise and improve the output signal-to-noise ratio. It has been widely used in automatic control, communication, radar and other fields. Quadruple correlation and triple spectrum (spectral function of quadruple correlation function) analysis are signal processing methods in the range of high-order moments, because the quadruple correlation of the zero-mean Gaussian stationary random process is equal to zero, and the quadruple correlation has displacement and rotat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06F2218/04G06F2218/08
Inventor 许芳
Owner NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap