Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for detecting weak low frequency signal form unknown strong frequency conversion signal

A low-frequency signal and signal technology, applied in the field of detecting weak low-frequency signals, can solve the problems of increasing the difficulty of data transmission, storage and processing, reducing real-time performance, and being impossible to achieve, so as to reduce data storage and processing overhead, enhance real-time performance, real-time effects

Inactive Publication Date: 2011-02-09
NAVAL UNIV OF ENG PLA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the frequency of the signal to be tested is high, the high sampling rate will increase the difficulty of data transmission, storage and processing, which will not only reduce real-time performance, but sometimes even be impossible

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
  • Method for detecting weak low frequency signal form unknown strong frequency conversion signal
  • Method for detecting weak low frequency signal form unknown strong frequency conversion signal
  • Method for detecting weak low frequency signal form unknown strong frequency conversion signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0028] Such as figure 1 Shown, the inventive method has adopted following steps:

[0029] The first step is to condition and shape the signal under test;

[0030] In the second step, the conditioned signal is divided into two paths, one path enters the digital acquisition system, and the other path is used to generate tracking trigger signals;

[0031] The third step is to collect the signal under the control of the tracking trigger signal;

[0032] The fourth step is to analyze and process the collected signals and detect weak low frequency signals from the unknown strong frequency conversion signals.

[0033] Such as figure 2 As shown, the first step to the third step of the method of the present invention are realized by a signal acquisition circuit: the signal acquisition circuit is composed of a power supply unit, an emitter follower u...

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

This invention discloses a method for detecting weak low-frequency signals in unknown frequency conversion signals; the method of the invention firstly divides the input unknown frequency conversion signals into two paths, wherein, one path enters a data acquisition system, the other path is used for producing tracing trigger signals, then the tracing trigger signals are used for realizing the triggering and acquisition of the unknown frequency conversion signals which are analyzed and processed, thus realizing the detection of weak low-frequency signals in unknown frequency conversion signals. The method of the invention has little dependence on the prior knowledge of the background signal characteristics, small analytical data length, low sampling rate and high real-time data processingand is very applicable to the extraction and detection of weak signals.

Description

technical field [0001] The invention relates to technical issues such as moving target detection and power transmission line leakage detection, and specifically refers to a method for detecting weak low-frequency signals from unknown strong frequency-conversion signals. Background technique [0002] Weak signal extraction and detection are usually realized by filtering processing based on certain prior information, including various time domain and frequency filtering, correlation processing and other methods. For example, in traditional radar signal processing, the target echo must be processed on the basis of the transmitted signal in order to extract various characteristic information of the target. In this case, the radiation source is controlled, and the characteristics of the radiation signal participate in the later signal processing as prior knowledge. In the new passive radar, the radiated signal may no longer be an exact known a priori controlled quantity, especia...

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 Patents(China)
IPC IPC(8): G01S7/292G01R23/165G01R31/02
Inventor 曹可劲许江宁朱银兵崔国恒胡东亮马恒
Owner NAVAL UNIV OF ENG PLA
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
Eureka Blog
Learn More
PatSnap group products