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

Method for estimating parameters of near-field broadband signal resources by utilizing less array elements

A broadband signal and parameter estimation technology, applied in the field of near-field broadband target positioning technology, can solve the problems of large amount of calculation, sensitive estimated value, and inability to form signal subspace, etc., and achieve the effect of small amount of calculation

Inactive Publication Date: 2012-12-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF1 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These algorithms more or less have some deficiencies, for example, although the maximum likelihood method has the best estimation performance, but the calculation is very heavy, which limits its application in practical engineering
The ISSM algorithm in the two-dimensional MUSIC algorithm has poor estimation performance under the condition of low signal-to-noise ratio, and the calculation amount is large, so it cannot estimate the coherent signal source. The CSSM algorithm focuses on the data of different frequency points by applying the focusing matrix, and obtains a single Frequency point (reference frequency point) data to calculate the signal covariance matrix, and then apply the traditional narrowband subspace method to calculate the azimuth angle, but this algorithm needs to estimate the position of the signal source, and the final positioning result is more accurate than the estimated value sensitive
[0005] Obviously, the number of array elements required to be greater than or equal to the number of signal sources is not suitable for the mobile communication environment where the number of users is increasing. Generally speaking, the number of users at this time is far greater than the number of array elements, and from physical conditions or Considering the economic cost, the number of array elements is usually limited
However, when the number of sources is greater than the number of array elements, the columns of the array manifold matrix are no longer linearly independent, and the source covariance matrix will be rank deficient. At this time, the number of large eigenvalues ​​of the array signal covariance matrix is ​​less than that of the signal source number, cannot constitute a signal subspace, the traditional subspace method can no longer be used

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 estimating parameters of near-field broadband signal resources by utilizing less array elements
  • Method for estimating parameters of near-field broadband signal resources by utilizing less array elements
  • Method for estimating parameters of near-field broadband signal resources by utilizing less array elements

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] DOA and distance parameter estimation performance simulation of the present invention:

[0030] The method of embodiment 1 is attached figure 1 As shown, the receiving array is as attached figure 2 The non-uniform linear array composed of 5 array elements is shown, and the position of the array center is set as the phase reference point of the receiving array. The azimuth parameters and distance parameters of the two non-correlated near-field broadband signals are [θ 1 ,r 1 ], [θ 2 ,r 2 ], where [θ 1 ,r 1 ] = [-10°,4], [θ 2 ,r 2 ]=[5°,2], broadband signal [f min ,f max ] relative to the center frequency The normalized spectrum range of is [0.8,1.2], that is, its bandwidth is the center frequency f 0 40% of the broadband signal source is divided into 21 frequency groups (2N+1), that is, the maximum number of forward (or reverse) frequency segments is N=10, and the phase difference between adjacent frequency groups is The center array element is the referen...

Embodiment 2

[0076] The estimation ability of the present invention for multiple signal sources:

[0077] The method of embodiment 2 is attached figure 1 As shown, the incident angles of the 5 near-field non-correlated broadband signal sources are [-20°-10°0°10°20°], SNB=5dB, and the incident angles of the 6 near-field non-correlated broadband signal sources are [-30°-20°-10°0°10°20°], SNB=10dB, the rest of the simulation conditions are the same as in Example 1, after changing the simulation conditions, execute the steps of Example 1 again to get Figure 5 ,in Figure 5 (a) and (b) respectively give five and six near-field uncorrelated broadband signal sources whose incident angles are [-20°-10°0°10°20°] and [-30°-20° -10°0°10°20°] pseudospectrum. From Figure 5 It can be seen that the proposed algorithm can estimate near-field broadband signals exceeding the number of array elements, which cannot be achieved by traditional near-field broadband spatial spectrum algorithms.

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 provides a method for estimating parameters of DOA (direction of arrival) and a distance of more near-field broadband signal resources by utilizing less array elements. The method comprises the following steps of: fully making use of characteristics of broadband signals, constructing a Toeplitz matrix by utilizing mutual correlation of outputs of array elements in a family of frequency on condition that array elements are less, wherein the Toeplitz matrix meets the conventional narrowband MUSIC algorism and comprises information about the DOA and the distance parameter; at last, estimating the DOA and the distance parameter by utilizing the MUSIC algorithm, thus realizing location of more near-field broadband signal resources. According to the method disclosed by the invention, location of more near-filed broadband signal resources can be realized by utilizing less array elements without parameter pairing, angle pre-estimation and broadband focusing, therefore, the method is lower in computational load and convenient for a practical application.

Description

technical field [0001] The invention is applied to the near-field broadband target positioning technology in the field of array signal processing. Background technique [0002] Radiation source localization based on sensor array is an important research content of array signal processing, and it has a wide range of applications in many fields such as radar, sonar, wireless communication, seismology and radio astronomy. Usually, when the source position is far away from the receiving array, the target transmission signal can be regarded as a plane wave at the receiving end, and the position of the target can be determined by the angle of azimuth (DOA) of the source. The traditional high-resolution DOA estimation methods are all based on the far-field model. However, when the source is close to the receiving array, that is, the source is located in the near-field condition, the assumption of plane waves is no longer valid, and the signal passes through the array in the form o...

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): G01S11/04G01S5/02
Inventor 林文凤易周维甘露魏平李立萍
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com