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Joint estimation method for angle of array antenna and number of signal sources in complex noise environment

An array antenna and joint estimation technology, which is used in radio wave direction/bias determination systems, radio wave measurement systems, and direction-determining steerers, etc., can solve problems such as outstanding limitations, and reduce computational complexity and computational complexity. The effect of low and high estimation accuracy

Active Publication Date: 2018-04-27
DALIAN UNIV OF TECH +1
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Problems solved by technology

With the gradual increase of signal bandwidth and the influence of complex noise, the limitations of traditional DOA estimation methods based on narrowband signals have become increasingly prominent

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  • Joint estimation method for angle of array antenna and number of signal sources in complex noise environment
  • Joint estimation method for angle of array antenna and number of signal sources in complex noise environment
  • Joint estimation method for angle of array antenna and number of signal sources in complex noise environment

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. The overall algorithm flow chart is as follows figure 1 shown.

[0025] A method for jointly estimating the array antenna angle and the number of sources in a complex noise environment includes the following steps:

[0026] In the first step, in the case of known cyclic frequency α, calculate the cyclic correlation entropy function of M array elements receiving signals m=1,2,...,M;

[0027]

[0028] in, Expressed as a kernel function, σ is the kernel length; y m (t) represents the signal received by the mth array element at time t; τ is the time delay.

[0029] The second step is to establish a circular correlation entropy array linear predict...

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Abstract

The invention relates to a joint estimation method for the angle of an array antenna and the number of signal sources in a complex noise environment, and belongs to the technical field of radio positioning. The joint estimation method comprises the steps of 1) solving a cycle correlation entropy matrix V<alpha><y>(tau) of array signals under a condition that the cycle frequency is known; 2) building a cycle correlation entropy array linear prediction model V=[Phi]A which is applicable to broadband signals and narrow-band signals; 3) estimating the number K of interested signal sources and an error variance [sigma]<2>; 4) estimating a flow pattern matrix of the array model; and 5) performing DOA estimation by using spectrum peak searching. According to the invention, a cycle correlation entropy theory is organically applied to array signal processing, correlation characteristics of the cycle correlation entropy are innovatively proposed, and the array linear prediction model is built based on the characteristics. The algorithm is put forward according to actual requirements, and has the characteristics of high anti-noise performance, low computation complexity, small number of required snapshots, high angular resolution and the like.

Description

technical field [0001] The invention belongs to the technical field of multi-parameter estimation of radio signals, and relates to an estimation method of the angle of a uniform line array cyclostationary signal and the number of information sources, in particular to the combination of the angle of a broadband cyclostationary signal and the number of information sources in a complex noise environment Estimation method. Background technique [0002] Direction finding positioning is the most widely used positioning technology in wireless passive positioning, and its basic task is to realize the estimation of target direction of arrival (DOA). With the rapid development of modern mobile communication and array signal processing, the signal transmission environment is becoming more and more complicated. High-resolution DOA estimation and techniques for suppressing the influence of interference waves have become a research hotspot. Existing studies are mostly based on the assum...

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/143
Inventor 邱天爽金芳晓李蓉夏楠刘涛纽莉荣李景春
Owner DALIAN UNIV OF TECH
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