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Asynchronous fusion method based on multi-model flight path quality

A track quality and fusion method technology, applied in the field of signal processing, can solve the problems of large error in local sensor state estimation, reduced system tracking accuracy, and no feedback mechanism in the system

Inactive Publication Date: 2014-04-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Application Information

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Problems solved by technology

The TFAFP algorithm determines the size of the weight by the time difference between the sampling moment and the fusion moment. The local sensor state estimation error is large, thereby reducing the tracking accuracy of the entire system, and the entire system has no feedback mechanism. These two problems make the TFASP algorithm have some shortcomings.

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  • Asynchronous fusion method based on multi-model flight path quality
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Embodiment Construction

[0050] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0051] The main idea of ​​the step-by-step asynchronous track fusion method based on track quality in the embodiment of the present invention is to perform filtering prediction up to the fusion time based on the local state estimation information of each sensor, obtain the observed prediction value at the fusion time, and then perform the same The multiple predicted values ​​of the sensors are weighted and fused to obtain the observation information of each sensor at the time of fusion, and finally the global fusion of asynchronous multi-sensors is realized by using the step-by-step filter fusion process. The basic implementation process is as follows: figure 1 shown.

[0052] according to figure 1 Description, assuming that the fusion period is T, and the number of sensors with measurement information in a certain fusion period is N, the basic fusion m...

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Abstract

The invention discloses an asynchronous fusion method based on multi-model flight path quality and particularly provides a multi-model flight path quality concept based on Kalman filtering flight path quality; a feedback mechanism is introduced into a system; an asynchronous multi-sensor flight path fusion method with information feedback is provided. The method feeds one-step predication of whole-situation state estimation back to a partial sensor and the partial sensor obtains the multi-model flight path qualities of all sampling points based on the feedback information and distributes weight values according to the multi-model flight path quality of each point; the precision of an equivalent observation value of a fusion moment of the partial sensor is improved so that the performance of the whole-situation state estimation is improved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to an asynchronous fusion method based on multi-model track quality, which is applied to the scene of random change of sensor sampling period. Background technique [0002] Due to the different sampling rates of multi-sensors, communication delays, and targets leaving the sensor observation area from time to time, the time interval of observation data changes irregularly. This kind of observation data out-of-sync problem greatly reduces the tracking accuracy of multi-sensor systems. Asynchronous fusion is more practical than studying synchronous data fusion. [0003] Generally, asynchronous track fusion problems are mainly divided into two categories. The first category is that each sensor has a different and fixed sampling period; the second category is that the time interval for each sensor to provide target information changes irregularly, that is, the senso...

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Application Information

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IPC IPC(8): G01C21/20
CPCG01C21/20
Inventor 张可王泽阳张伟程辰贺颖张超然王一茗曾庆瑾陈龙
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA