Target number and target angle estimation method based on MDL criterion

A technology of target angle and target function, which is applied to direction finders for measuring directions, direction finders using electromagnetic waves, direction finders using radio waves, etc., can solve problems such as inability to accurately estimate the number of targets and target angles, and achieve Estimating the Effect of Performance Improvement

Active Publication Date: 2020-06-23
HARBIN ENG UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the existing methods cannot accurately estimate the number of targets and the target angle under the condition of non-uniform noise, and propose a method based on minimum length description (MDL ) criterion of the target number and target angle estimation method, which realizes the accurate estimation of the target number and target angle in the background of non-uniform noise

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  • Target number and target angle estimation method based on MDL criterion
  • Target number and target angle estimation method based on MDL criterion
  • Target number and target angle estimation method based on MDL criterion

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[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] The technical thought of the present invention is: take the whitening vector w and the number of targets k as unknown parameters, establish the minimum length description criterion target function MDL(w, k), use the genetic algorithm to solve the minimum value of the target function MDL(w, k), get the whitening vector estimate and the estimated number of targets Use whitened vector estimates For the received signal covariance matrix Perform whitening treatment to get According to the whitened covariance matrix Whiten vector estimates and the estimated number of targets Calculate the target angle estimate

[0051] refer to figure 1 , the implementation steps of the present invention are as follows:

[0052] Step (1): An array composed of M sensors obtains N sampling data, and the nth sampling obtains an M×1-di...

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Abstract

The invention provides a target number and target angle estimation method based on an MDL criterion, and belongs to the field of array signal processing. The method has an advantage that under the condition of a non-uniform noise, correct estimation of a target number and a target angle can be realized. The method mainly comprises the following steps: firstly, taking the target number and a whitening vector as unknown parameters, and establishing a target function taking a minimum description length (MDL) as the criterion; solving a minimum value of the MDL target function by using a genetic algorithm so as to obtain an estimated value of the target number and an estimated value of a whitening vector; whitening a received signal covariance matrix by using the estimated value of the whitening vector; and finally, according to the whitened covariance matrix, the estimated value of the whitening vector and the estimated value of the target number, realizing accurate estimation of the target angle.

Description

technical field [0001] The invention relates to a method for estimating the number of targets and the target angle based on the MDL criterion under the background of non-uniform noise, and belongs to the technical field of array signal processing. Background technique [0002] Target number estimation and target angle estimation give the main information of the target, which is the main content in array signal processing. [0003] R.O.Schmidt in the literature "Multiple emitter location and signal parameter estimation [J].IEEE [0004] Trans.Antennas Propag., 1988, vol.36, no.4, pp.532-544" proposed a classic MUSIC high-resolution target angle estimation method, but the MUSIC method needs to assume that the number of known targets. H.Akaike in the literature " A newlook at the statistical model identification[J].IEEE Trans.Autom.Control,1974,vol.19,no.6,pp.716-723" proposes the number of targets based on the AIC (AIC, Akaike Information Criterion) criterion Estimation meth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14G01S3/782G01S3/802
CPCG01S3/143G01S3/782G01S3/8027
Inventor 柳艾飞郭韩俊杨德森莫世奇
Owner HARBIN ENG UNIV
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