Multi-target direct positioning method based on neural network computing

A neural network and positioning method technology, which is applied in the field of multi-target direct positioning based on neural network computing, can solve problems such as large real-time computing load, and achieve the effect of reducing the number of samples

Active Publication Date: 2018-08-17
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Aiming at the problem that the real-time calculation amount of the existing direct positioning method is relatively large, the present invention provides a multi-target direct positioning method based on neural network calculation to quickly and accurately locate multiple targets

Method used

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  • Multi-target direct positioning method based on neural network computing
  • Multi-target direct positioning method based on neural network computing
  • Multi-target direct positioning method based on neural network computing

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Experimental program
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Effect test

Embodiment 1

[0087] Such as figure 1 As shown, a kind of multi-target direct positioning method based on neural network calculation of the present invention comprises the following steps:

[0088] Step S101: Construct L array output covariance matrices using the array signal data in L observation stations

[0089] Step S102: output the covariance matrix of L arrays Gather together and perform data preprocessing to get a real vector

[0090] Step S103: Divide the target area of ​​interest into several sectors, and select a number of discrete position points in each sector, then use the selected discrete position points to construct learning data samples, and use the constructed learning data samples to train multi-layer front Feed the neural network;

[0091] Step S104: the real vector Input into the multilayer feed-forward neural network trained in step S103, to detect the number of targets in each sector, when multiple targets appear in a certain sector, the sector is further divi...

Embodiment 2

[0098] Such as figure 2 As shown, another kind of multi-target direct positioning method based on neural network calculation of the present invention comprises the following steps:

[0099] Step S201: Construct L array output covariance matrices using the array signal data in L observation stations include:

[0100] Step S2011: Assume that there are L static observation stations, and each observation station is equipped with an antenna array for locating the target, and there are D narrowband independent signal sources to be located that arrive at the array, and the array output signal model can be expressed as :

[0101]

[0102] where u d Indicates the position vector of the dth signal; a l (u d ) represents the array manifold vector generated by the dth signal arriving at the lth array; A l =[a l (u 1 ) a l (u 2 ) … a l (u D )] represents the manifold matrix corresponding to the lth array; s l (t)=[s l,1 (t)s l,2 (t) ... s l,D (t)] T Represents the sig...

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Abstract

The invention belongs to the technical field of radio signal positioning, and particularly relates to a multi-target direct positioning method based on neural network computing. The multi-target direct positioning method includes the steps: firstly, decomposing an interested target area into a plurality of sectors, and detecting an existed target sector by the aid of a multilayer feed-forward neural network; secondly, further decomposing the sector into a plurality of sub sectors when a plurality of targets in some sector is detected to ensure at most one target in each sub sector, and detecting the sub sectors with the targets by the aid of the multilayer feed-forward neural network again; thirdly, sequentially performing spatial filtering on the sectors or sub sectors with the targets bythe aid of the multilayer feed-forward neural network; finally, independently, parallelly and directly positioning the targets in different sectors or sub sectors by the aid of a radial basis neuralnetwork.

Description

technical field [0001] The invention belongs to the technical field of radio signal positioning, in particular to a multi-target direct positioning method based on neural network calculation. Background technique [0002] As we all know, wireless signal positioning technology is widely used in communication, radar, target monitoring, navigation telemetry, seismic survey, radio astronomy, emergency rescue, safety management and other fields, and it plays an important role in industrial production and military applications. [0003] Target positioning (that is, location parameter estimation) can be done using active equipment such as radar, laser, and sonar. This type of technology is called active positioning technology, which has the advantages of all-weather and high precision. However, active positioning systems usually need to rely on the transmission of high-power electromagnetic signals to achieve, so it is very easy to expose one's own position and be easily discovered...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/04G06N3/08
CPCG01S5/04G06N3/08
Inventor 王鼎尹洁昕唐涛杨宾杜剑平陈鑫
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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