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Passive target location method based on maximum likelihood estimation

A technology of maximum likelihood estimation and target positioning, which is applied in the field of passive target positioning based on maximum likelihood estimation, and can solve the problem of low target positioning accuracy.

Inactive Publication Date: 2012-06-20
XI'AN POLYTECHNIC UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a target passive positioning method based on maximum likelihood estimation, which solves the disadvantages that the existing target passive positioning method does not need to set the target initial value and the target positioning accuracy is not high.

Method used

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  • Passive target location method based on maximum likelihood estimation
  • Passive target location method based on maximum likelihood estimation
  • Passive target location method based on maximum likelihood estimation

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Embodiment Construction

[0047] The present invention will be described in detail below in combination with specific embodiments.

[0048] Assuming that in three-dimensional space, p represents the position of the target, there are 3 passive sensors to measure the position of the target, and the position of the sensor is s k , k=1, 2, 3, the subscript k indicates the number of the sensor. The passive sensor obtains the angle measurement information of the target, namely: deflection angle θ k and pitch angle φ k . (Note: In the passive positioning algorithm, the situation of 3 sensors is usually studied, because other situations can be easily derived from this result.) According to the geometric and triangular relations, there are the following relations:

[0049] θ k = tan - 1 s y ( k ...

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Abstract

The invention discloses a passive location method based on maximum likelihood to improve locating accuracy of a passive locating sensor. The purpose of the invention is to overcome the shortage, namely the disadvantage that freeness of setting a target initial value and low target location accuracy cannot be achieved at the same time, of a traditional passive target location method. The method comprises the following implementation steps of: firstly considering a passive locating condition in a two-dimensional space, and calculating initial position estimation of a target; calculating an auxiliary variable G1; structuring a new target position estimation formula in a two-dimensional space; estimating a z coordinate value of the target in a three-dimensional space; structuring a passive locating target function based on a maximum likelihood criterion; and carrying out iterative optimization to obtain an estimation result. According to the location method provided by the invention, the target initial position is not required and the accuracy of a location result is the same as that of a traditional maximal likelihood passive method.

Description

technical field [0001] The invention belongs to the technical field of target tracking and target positioning, and relates to a passive target positioning method, in particular to a maximum likelihood estimation-based passive target positioning method, which can be used for target positioning by passive radar and infrared sensors. Background technique [0002] Passive sensor positioning technology is widely used. Compared with active positioning technology, it has the characteristics of strong concealment and difficult to be found. Its typical measurement quantities include yaw angle and pitch angle. [0003] Multiple passive sensors obtain different azimuths, and the straight lines indicated by these azimuths intersect at one point, which is the position of the target. Due to errors in the angle measurement process, more than one intersection point is often calculated. In order to obtain a more accurate target position, various algorithms have been proposed in the past rese...

Claims

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Application Information

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IPC IPC(8): G01S5/00
Inventor 陈金广马丽丽陈亮王会燃朱欣娟
Owner XI'AN POLYTECHNIC UNIVERSITY
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