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

Credibility verification method for complex modulated signal processing results based on extreme likelihood ratio

A technique for modulating signals and processing results, which is applied in the field of signal processing, and can solve the problems of few studies on the credibility evaluation of mixed modulated signal blind processing results, etc.

Active Publication Date: 2018-12-11
JINLING INST OF TECH
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are very few studies on the credibility evaluation of blind processing results of mixed modulation signals

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
  • Credibility verification method for complex modulated signal processing results based on extreme likelihood ratio
  • Credibility verification method for complex modulated signal processing results based on extreme likelihood ratio
  • Credibility verification method for complex modulated signal processing results based on extreme likelihood ratio

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention is described in further detail now in conjunction with accompanying drawing.

[0059] Such as figure 1 The shown method for verifying the credibility of complex modulation signal processing results based on extreme likelihood ratio, the specific process includes the following steps:

[0060] 1. Reference signal construction

[0061] The modulation mode is identified first, and the corresponding parameters are estimated and the reference signal y(n) is constructed according to the model corresponding to the identification result.

[0062] ①In H 0 Assuming that the identification of the modulation mode is correct at this time, the parameter estimation error of the LFM signal component is small and the BPSK signal component has no decoding error. Adapted Signal Parameter Set Using Estimates: Starting Frequency Estimates FM coefficient estimate And the phase function of the BPSK signal component Construct the adaptation reference signal:

[0...

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

A credibility verification method for complex modulated signal processing results based on extreme likelihood ratio is disclosed, modified correlation spectrum used as the basis, a processing methodbased on NP-EVT criterion method of is proposed. Using EVT theory, the limit form of probability density function of normalized maximum statistic under different credibility assumptions is obtained. Based on NP criterion, the likelihood ratio test is constructed by this limit form, and a simplified likelihood ratio algorithm is proposed. The simulation results show the: the invention can effectively complete the credibility test of the LFM / BPSK composite signal blind processing result within a moderate signal-to-noise ratio range, without the prior information of the signal, is simple and effective, and has certain theoretical value and practical significance for improving the credibility and effectiveness of the radar and cognitive radio signal blind processing result.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for verifying the credibility of complex modulation signal processing results based on extreme likelihood ratios. Background technique [0002] In recent years, with the complexity of the radar system and the agility of radar signal parameters, the electromagnetic environment faced by electronic warfare receivers has become increasingly complex, and the difficulty of reconnaissance signal processing has also increased. In order to meet these challenges, new technologies and models such as adaptive radar countermeasures and cognitive electronic warfare have become the focus of attention of military research institutions in various countries. In cognitive electronic warfare, its signal processing framework is generally composed of a cognitive reconnaissance module, a countermeasure synthesis module, and a countermeasures evaluation module, forming a c...

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): H04L1/00H04L27/32
CPCH04L1/0038H04L1/0061H04L27/32
Inventor 胡国兵吴珊珊董振华赵嫔娇杨莉
Owner JINLING INST OF 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