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A Multiple-Input Multiple-Output Radar Near-Field Positioning Algorithm

A positioning algorithm and multi-output technology, applied in the direction of radio wave reflection/re-radiation, using re-radiation, measuring devices, etc., can solve the problem of low accuracy of the target position, and achieve the effect of improving accuracy and precise positioning

Active Publication Date: 2018-08-17
江苏浩之峰高新技术有限公司
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a multi-input and multi-output radar near-field positioning algorithm, and solve the technical problem of the low accuracy of radar positioning estimation target position in the prior art

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  • A Multiple-Input Multiple-Output Radar Near-Field Positioning Algorithm
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  • A Multiple-Input Multiple-Output Radar Near-Field Positioning Algorithm

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present invention.

[0045] Such as figure 1 Shown, is the algorithm flowchart of the present invention, comprises the steps:

[0046] Step 1: Use the idea of ​​chan algorithm to perform the first weighted least squares estimation;

[0047] Step 101: Establish a positioning model and calculate the distance from the target to the transmitter:

[0048] In two-dimensional Cartesian coordinates, assume that the target position is (x,y); the number of transmitting radars is M, and the coordinates are (x tk ,y tk ), k=1,2...M, the transmitter transmits orthogonal signals; the number of receiving radars is N, and the coordinates are (x rl ,y rl ), l=1,2...,N, designate the Nth receiver as the reference receiver, and...

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Abstract

The invention discloses a multiple-input-multiple-output radar near-field positioning algorithm which includes the steps: firstly, performing estimation of a first weighted least square method by the aid of thinking of a chan algorithm; secondly, defining a new residual matrix, and performing estimation of a second weighted least square method; finally, substituting a result initial value of second estimation into a Taylor algorithm, performing iterative processing until an outputted positioning result is smaller than a minimum set threshold value. According to the positioning algorithm, near-field targets can be accurately positioned, and the positioning algorithm is applicable to multiple-input-multiple-output radar near-field positioning systems.

Description

technical field [0001] The invention relates to a multi-input multi-output radar near-field positioning algorithm. Background technique [0002] The emergence of stealth bombers has brought new challenges to radar positioning. Stealth aircraft appear in the near-field range, and the traditional radar positioning method is far from meeting the positioning requirements. The TDOA method is a method of positioning by measuring the time difference between the signals reflected by the target and arriving at multiple receivers. Estimation methods based on location usually have two steps. The first step is to obtain the measured value of the time difference between the target and the two receiving base stations through delay estimation. In the second step, a system of hyperbolic equations is established according to the measured values, and then the corresponding algorithm is applied to solve them. The TDOA equation adopts the idea of ​​the traditional chan algorithm to process ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/06G01S7/02
CPCG01S7/02G01S13/06
Inventor 胡居荣袁倩如周进顾根瑞
Owner 江苏浩之峰高新技术有限公司
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