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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: 2017-02-22
HOHAI UNIV
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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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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, and cannot be used to limit the protection scope of the present invention.

[0045] like figure 1 As shown, is the algorithm flow chart of the present invention, including the following steps:

[0046] Step 1: Use the idea of ​​the 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, the target position is assumed to be (x, y); the number of transmitting radars is M, and the coordinates are (x tk ,y tk ), k=1,2...M, the transmitter transmits quadrature signals; the number of receiving radars is N, and the coordinates are (x rl ,y rl ), l=1,2...,N, designate the Nth receiver a...

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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 and 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, and the traditional radar positioning method is far from meeting the positioning requirements. The TDOA method is a method for positioning by measuring the time difference between the signals reflected by the target and arriving at multiple receivers. Location-based estimation methods usually take 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. The second step is to establish a hyperbolic equation system based on the measured values, and then apply the corresponding algorithm to solve it. The traditional chan algorithm is used to process the TDOA equation twice by the Weighted least square ...

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Application Information

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IPC IPC(8): G01S13/06G01S7/02
CPCG01S7/02G01S13/06
Inventor 胡居荣袁倩如周进顾根瑞
Owner HOHAI UNIV
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