Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-channel blind source separation method for space micro-motion group target

A technology of blind source separation and group target, which is applied in the field of multi-channel blind source separation of spatial micro-movement group targets, which can solve the problem that the signal is difficult to be processed uniformly, the phase and amplitude separation sequence is not the same as the source signal, and the target recognition cannot be made to pave the way. question

Active Publication Date: 2020-07-03
NANJING UNIV OF SCI & TECH
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For positive definite blind source separation, multiple radar receiving systems are usually used to receive the linear mixed signals of multiple targets, and the method of independent component analysis is usually used for signal separation, but the phase, amplitude and separation sequence of this method are different from the source signal. For target recognition, the amplitude problem can be normalized, and the separation order problem can be ignored. However, since the phases of the separated source signals are not all opposite, it is difficult to process the separated signals uniformly, and it cannot be used for subsequent target recognition. bedding

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
  • Multi-channel blind source separation method for space micro-motion group target
  • Multi-channel blind source separation method for space micro-motion group target
  • Multi-channel blind source separation method for space micro-motion group target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0018] combine figure 1 , the present invention is based on the fourth-order cumulant joint diagonalization space micro-motion group target multi-channel blind source separation method, comprising the following steps:

[0019] Step 1. The schematic diagram of multiple radar receiving group target echoes is as follows figure 2 As shown, a short-term single-frequency pulse is launched to the space micro-movement warhead target. Here, a single-frequency pulse with a duration of 3 s is selected to obtain the micro-motion complex echo of each target, as shown in Figure 3(a), Figure 3( b) as shown. By randomly setting the positive definite mixing matrix, the complex mixed echoes of the micro-moving warheads of group targets are obtained, as shown in Figure 4(a) and Figure 4(b), and the complex mixed micro-moving warhead echoes are preprocessed.

[0020] Step 1....

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 discloses a multi-channel blind source separation method for a space micro-motion group target. The method solves a multi-channel blind source separation problem of a micro-motion warhead group target, and requires that the number of echoes received by radar is greater than or equal to the number of warheads in the group target. The method comprises the steps of firstly, transmittinga single-frequency pulse signal by the radar to obtain a plurality of micro-motion echoes of n warheads; randomly setting a positive definite mixed matrix to obtain n-dimensional hybrid signals, andpreprocessing the n-dimensional mixed signals; establishing a four-order cumulant matrix according to the processed mixed signals, performing joint diagonalization, and establishing an objective function; establishing a Givens rotation matrix, and finding a unitary matrix meeting the objective function, namely, a demixing matrix; and reconstructing source signals. According to the method, the four-order cumulant matrix is established by utilizing the characteristics that micro-motion warhead echoes have non-Gaussian characteristics and the cumulant of more than three orders of signals based onmultivariate Gaussian distribution is zero, joint diagonalization processing is carried out, and finally each micro-motion warhead echo is separated out.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a multi-channel blind source separation method for spatial micro-motion group targets. Background technique [0002] The flight trajectory of strategic ballistic missiles can be divided into: boost phase, middle phase and re-entry phase. Since the boost phase is within the detectable range of the enemy, and the flight time of the re-entry phase is relatively short, the warhead flight duration of the middle phase is longer and stable, which is the best stage for detecting enemy missiles. When the missile is flying in the middle stage, because there is no atmospheric resistance, most of the decoys and the fragments formed by the explosion of the mother warehouse will perform tumbling motions without an attitude controller. Precess or nutate, and fly according to the established orbit. In addition, since the ability of infrared radiation basically disappears in the middl...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41G01S7/415Y02A90/10
Inventor 陈如山丁大志樊振宏叶晓东何姿
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products