Signal detection and estimation method based on multi-dimensional characteristic neural network

A neural network and signal detection technology, applied in the field of artificial neural network and direct sequence spread spectrum communication

Inactive Publication Date: 2015-01-07
张冬
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide a signal detection and estimation method based on a multi-dimensional feature neural network. Through the artificial neural network, the signal can be detected from the noise and its value can be estimated in non-cooperative communication. PN sequence, and in the case of low signal-to-noise ratio, the network can also quickly converge to the sequence or its inverse

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
  • Signal detection and estimation method based on multi-dimensional characteristic neural network
  • Signal detection and estimation method based on multi-dimensional characteristic neural network
  • Signal detection and estimation method based on multi-dimensional characteristic neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the present invention will be further explained below in conjunction with specific embodiments.

[0037] Reference Figure 1-6 , This specific implementation adopts the following technical solutions: 1. Divide the captured DSSS information data into K segments, and calculate the autocorrelation function R of the k-th segment data k (τ), 1≤k figure 2 Shown.

[0038] 2. According to formula (a), the period T of the PN code is estimated by the distance between the second power spectrum pulses of the DSSS signal 0 .

[0039] 3. According to formula (b), search for the position of the spectral line with the largest amplitude except for the zero frequency of the DSSS signal periodic spectrum along the α axis α=1 / T c , Get the estimated PN chip width T c = 1 / α.

[0040] 4. According to formula (c), the start and end time T of the synchronization between the PN ...

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 signal detection and estimation method based on a multi-dimensional characteristic neural network, and relates to the technical fields of artificial neural networks and direct sequence spread spectrum (DSSS) communication. According to the method, the presence of a DSSS signal is detected by using a correlation function accumulation method, and the estimation of a PN (Pseudo-Noise) code is finished, namely, a direct spread signal spread spectrum code is detected under the situation of low signal-to-noise ratio based on a multi-dimensional characteristic neural network method. The method comprises the following steps: extracting the multi-dimensional characteristics of a signal (comprising the period of the PN code, the width of a code element, the starting and stopping moments of the synchronization of the PN code and an information code, and the like); periodically segmenting the signal; inputting the segmented signals into the neural network in batches for training; and training and converging the segmented signals through the neural network to detect a spread spectrum sequence. Through adoption of the method, a signal can be detected from noise and a PN sequence of the signal can be estimated in non-cooperative communication through an artificial neural network; and moreover, the network can quickly converge to a sequence or a reverse sequence thereof under the situation of low signal-to-noise ratio.

Description

Technical field [0001] The present invention relates to the technical field of artificial neural network and direct sequence spread spectrum communication, in particular to a signal detection and estimation method based on a multi-dimensional feature neural network. Background technique [0002] Direct Sequence Spread Spectrum (DSSS) communication signal is obtained by multiplying the high-rate spread spectrum sequence and the information code sequence, which broadens the signal spectrum and reduces the signal power spectral density, and can work in a negative signal-to-noise ratio environment. The signal is submerged in noise, and has the advantages of strong anti-interference, anti-multipath, low probability of interception, multiple access multiplexing, etc., and has been widely used in the field of military and civil communications. DSSS communication first appeared during World War II, and with the emergence of wireless communication technology and new devices, it has been w...

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): H04B1/707H04L25/02H04B17/00
Inventor 张冬
Owner 张冬
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