A Noise Correlation System Tracking and Filtering Method

A tracking filtering and noise technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, instruments, etc., can solve the problems of measurement covariance matrix singularity, system divergence, etc.

Active Publication Date: 2020-02-14
HARBIN INST OF TECH
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Problems solved by technology

But the enhanced state-space equations lead to singularities in the measurement covariance matrix, which can cause the system to become divergent

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  • A Noise Correlation System Tracking and Filtering Method
  • A Noise Correlation System Tracking and Filtering Method

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[0079] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0080] Such as figure 1 As shown, a noise-related system tracking filtering method provided by an embodiment of the present invention includes the following steps:

[0081] S1. Obtain target measurement data at time k from the observation radar and establish a state space model of the noise-related system, where the measurement data includes...

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Abstract

The invention relates to a noise related system tracking filtering method. The method comprises steps of target measurement data at time point k at an observation radar and establishing a status spatial model of the noise related system, wherein the measurement data comprises distance measurement data and position angle measurement data; converting the distance measurement data at time point k andposition angle measurement data into position measurement data of a target in an x direction and a y direction in a rectangular coordinate system, calculating deviation items in measurement conversion and a position measurement covariance matrix, making a measurement equation after conversion, and calculating co-variance of target position measurement noise at time points k-1 and k; constructinga filter based on a rule of minimum mean square error, compensating correlation of noise at two time points by using co-variance of measurement noise at time points k-1 and k, filtering position measurement data after conversion, updating error covariance of target status estimation and status estimation at time point k, and completing target tracking. The method can solve noise related problems,delivers a good tracking result, and has stable performance.

Description

technical field [0001] The invention relates to the technical field of space target tracking, in particular to a noise correlation system tracking filtering method. Background technique [0002] When tracking space targets, due to noise interference, the detection and tracking accuracy of moving targets is not high in an environment with a low signal-to-noise ratio. Therefore, in some occasions with a low signal-to-noise ratio, it is necessary to enhance the signal strength through time accumulation. Reduce the influence of noise to improve the signal-to-noise ratio, and complete a series of steps such as signal detection, tracking, and filtering. In order to improve the performance of target detection and ensure a high detection data rate, some radar systems will adopt the method of sliding window accumulation, that is, the same part of data will be used for accumulation processing at adjacent moments, which leads to the observation of adjacent accumulation moments Noise h...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/72G01S7/292G01S7/35
CPCG01S7/2923G01S7/354G01S13/723
Inventor 周共健孟爱强卜石哲
Owner HARBIN INST OF TECH
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