Multi-target tracking method for airborne early warning radar

A multi-target tracking and airborne early warning technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as the huge amount of algorithm calculation, and achieve the effect of improving the performance of dense clutter multi-target tracking

Active Publication Date: 2019-04-16
AIR FORCE EARLY WARNING ACADEMY
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  • Abstract
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  • Claims
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Problems solved by technology

However, due to the inherent combination characteristics of data association, the algorithm has a huge computational bottleneck

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  • Multi-target tracking method for airborne early warning radar
  • Multi-target tracking method for airborne early warning radar
  • Multi-target tracking method for airborne early warning radar

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[0034] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0035] In the following, many aspects of the present invention will be better understood with reference to the drawings. The parts in the drawings are not necessarily drawn to scale. Instead, the focus is on clearly describing the components of the invention. In addition, in several views in the drawings, the same reference numerals indicate corresponding parts.

[0036] The word "exemplary" or "illustrative" as used herein means serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" or "illustrative" is not necessarily construed as being pre...

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Abstract

The invention relates to the field of radar signal processing, and particularly relates to a multi-target tracking method for an airborne early warning radar. The difference lies in that the method comprises the steps that S1, the airborne radar acquires the position measurement at the current moment; S2, the residual measurement that may correspond to new targets is screened out; S3, the probability density expressed in the form of particles of the new targets is calculated; S4, the probability density expressed in the form of particles of survival targets at the next moment is predicted; S5,the probability density expressed in the form of particles of predicted targets omitted in detection is updated; S6, the probability density corresponding to each detection item is updated accordingto each measurement detected at the current moment; and S7, the steps are executed repeatedly for the measurement obtained in the next moment. The method effectively processes a problem of dense clutter multi-target tracking in the presence of a Doppler blind area of the airborne early warning radar.

Description

Technical field [0001] The invention relates to the field of radar signal processing, in particular to an airborne early warning radar multi-target tracking method. Background technique [0002] Airborne early warning radar has the characteristics of long visual range and good low-altitude performance due to its platform lift-off, and has received extensive attention in the military field. However, due to the severe low-altitude ground and sea clutter and the spectral modulation of the clutter caused by platform motion, a large amount of clutter remains after target detection and processing, which causes false alarms, increases the uncertainty of the radar signal processing measurement information, and seriously affects Multi-target tracking performance. In addition, in a multi-target scenario, the number of targets may change all the time due to the appearance, temporary disappearance and derivative processes of new targets, which brings greater difficulties to target tracking....

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/414G01S7/415
Inventor 吴卫华孙合敏蒋苏蓉金宏斌江晶冯讯袁俊泉刘俊凯许松刘重阳
Owner AIR FORCE EARLY WARNING ACADEMY
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