Unlock instant, AI-driven research and patent intelligence for your innovation.

Signal separation method under cognitive network environment

A signal separation and cognitive network technology, which is applied in the field of signal separation in the cognitive network environment, can solve the problems that cognitive users cannot effectively avoid malicious terminals, malicious signals occupy a large area, and affect communication efficiency, etc.

Inactive Publication Date: 2012-12-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In a radio cognitive network, malicious signals may occupy a wide frequency spectrum, causing other cognitive users to be unable to effectively avoid malicious terminals, thus affecting their own communication efficiency

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 separation method under cognitive network environment
  • Signal separation method under cognitive network environment
  • Signal separation method under cognitive network environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0085] image 3 It is a schematic block diagram of a specific implementation of the signal separation method in the cognitive network environment of the present invention

[0086] In this embodiment, there are two normal cognitive terminals sending normal source signals S1 and S2, and two malicious terminals sending malicious signals S3 and S4, that is, there are 4 source signals, including 2 normal signals and 2 malicious signals . The receivers R1-4, namely the number of receivers M=4, send the received signal to the central node for processing, and the signal-to-noise ratio is 10db. The bandwidth and carrier of these source signals are shown in Table 1:

[0087] source signal

bandwidth

Carrier

Types of

S1

20MHz

40MHz

normal signal

S2

10MHz

80MHz

normal signal

S3

10MHz

40MHz

Malicious signal

[0088] S4

10MHz

40MHz

Malicious signal

[0089] Table 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 signal separation method under a cognitive network environment, which comprises the following steps of: receiving M receiving signals xi (t) from a central node, wherein i=1, 2, ..., M; performing wavelet edge detection to obtain a frequency spectrum edge so as to divide the frequency spectrum which receives the signals into a plurality of sub-frequency bands, wherein M same band-pass filters Bj are designed in each sub-frequency band j, and the cut-off frequency spectrum is determined according to the frequency spectrum edge of the sub-frequency band; performing band-pass filtering on the M received signals xi (t) by using the M same band-pass filters Bj so as to obtain filtered signals xin (t); performing base band modulation to obtain a base band signal matrixY consisting of M base band signals xinL (t), centralizing and whitening the base band signal matrix Y to obtain a matrix, and solving a separation matrix W according to the matrix; and obtaining theestimated value of an original value according to a formula and performing demodulation according to the formula, wherein a row vector in the demodulated signal matrix is the estimated value of a source signal. Therefore, the central node performs signal separation on the received signals. The signals which do not accord with a frequency spectrum allocation rule are malignant signals, and the malignant signals are positioned.

Description

technical field [0001] The invention belongs to the field of cognitive radio technology, and more specifically, relates to a signal separation method in a cognitive network environment. Background technique [0002] Traditional wireless spectrum resources are allocated fixedly, and most of the licensed frequency bands have low utilization rates. In recent years, wireless communication technology has developed more rapidly, and spectrum resources have become increasingly tight. In order to solve the problem of scarcity of spectrum resources, the basic idea is to maximize the utilization of existing spectrum. For this reason, the concept of cognitive radio has been proposed. [0003] The basic starting point of cognitive radio is that in order to improve spectrum utilization, wireless communication devices can work in an authorized frequency band in an "opportunistic way". Such available spectrum resources that appear in the space, time, and frequency domains are called "sp...

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): H04L1/06H04B17/00H04B17/382
Inventor 隆克平刘健李超刘丹邝育军
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA