Networking radar tracking method based on conversion measurement reconstruction

A networked radar and measurement technology, applied in measurement devices, radio wave measurement systems, and radio wave reflection/re-radiation, etc., can solve the problems of networked radar target tracking performance degradation, etc.

Active Publication Date: 2020-09-04
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to overcome the drawbacks of network radar tracking performance degradation under large angle errors, and provide a network radar tracking method based on conversion measurement reconstruction

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  • Networking radar tracking method based on conversion measurement reconstruction
  • Networking radar tracking method based on conversion measurement reconstruction

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Embodiment 2

[0202] In this embodiment, two tracking scenarios in spherical coordinates are considered to be simulated.

[0203] Assuming that the total number of radars in the network is 2, the position of radar 1 is (-100,0,0) km, and the position of radar 2 is (100,0,0) km, the measurement noise characteristics of the two radars are exactly the same, both zero-mean Gaussian distribution with standard deviations of The initial position of the target is (100, 100, 10) km, and it moves at a constant speed throughout the whole process, with a speed of (100, 0, 0) m / s. The two radars track and sample the target alternately, the sampling interval is 1s, the number of Monte Carlo simulations is 100, and the simulation time is 400s.

[0204] Scenario 1: The standard deviation of the process noise of the target along each axis of the Cartesian coordinate system is 0.1m / s 2 .

[0205] Scenario 2: Increase the standard deviation of process noise along each axis of the Cartesian coordinate sy...

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Abstract

The invention discloses a networking radar tracking method and system based on conversion measurement reconstruction, and belongs to the technical field of radar target tracking. The method comprisesthe following steps: S1, initializing a filter; S2, predicting a target state; S3, reconstructing a conversion measurement model; S4, applying a CMKF filter; S5: estimating a target state. According to the method, an angle prediction value is estimated based on state prediction, then angle measurement and prediction are introduced into conversion measurement, and the proportion of the two is adjusted according to the proportion of the angle measurement error to the prediction error, so that a new conversion measurement model is constructed; in the reconstruction conversion measurement model, the cosine term of the angle error is effectively reduced, and the radial estimation performance is improved accordingly; and in the networking radar, information of a plurality of radars is fused in sequence based on the reconstructed conversion measurement model, so that for target tracking estimation, fusion precision is greatly improved compared with an original method, a satisfactory result isobtained; and the fusion method can be expanded to application of 2D radar networking tracking.

Description

technical field [0001] The invention relates to the technical field of radar target tracking, in particular to a networked radar tracking method based on conversion measurement reconstruction. Background technique [0002] In radar target tracking, the target state is generally established in the Cartesian coordinate system, while the nonlinear measurement is obtained in the polar / spherical coordinate system. The incompatibility of state and measurement leads to the so-called nonlinear estimation problem. To solve this problem, scholars have proposed various methods such as extended Kalman filter (EKF), unscented filter (UKF), volumetric Kalman filter (CKF), particle filter (PF), and converted measurement Kalman filter (CMKF). Among them, CMKF has been widely used in practice because of its high precision, good real-time performance, and easy implementation. The idea of ​​CMKF is to transform the nonlinear measurement in polar / spherical coordinates into a pseudo-linear expr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/87G01S13/72
CPCG01S13/87G01S13/723Y02A90/10
Inventor 盛琥任清安单齐李俊杨宏伟唐思圆
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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