Optimal sequential fusion estimation method under non-ideal channel

A fusion estimation, non-ideal technology, applied in the field of communication, can solve the problem that the system cannot accurately obtain data fusion estimation results, etc., to improve the accuracy and robustness, reduce the possibility of divergence, and achieve high filtering accuracy. Effect

Active Publication Date: 2019-09-06
BEIJING INFORMATION SCI & TECH UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] However, in the prior art, when performing data fusion, usually only how to remove noise correlation or how to solve network delay is considered separately, but in practical applications, the system may have both noise correlation and communication delay, and in this In this case, the system cannot accurately obtain the estimated results of data fusion

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  • Optimal sequential fusion estimation method under non-ideal channel
  • Optimal sequential fusion estimation method under non-ideal channel
  • Optimal sequential fusion estimation method under non-ideal channel

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Embodiment 1

[0055] Such as figure 1 As shown, this embodiment provides an optimal sequential fusion estimation method under a non-ideal channel. This method is suitable for fusion calculation of estimated values ​​of sensors in a discrete linear stochastic system. The method includes:

[0056] Step 1, according to the measurement value of the marked sensor stored in the buffer at the adjacent time, determine the fusion start update time τ;

[0057] Further, the calculation formula for determining the fusion start update time τ is:

[0058]

[0059]

[0060] In the formula, τ is the fusion start update time, t is the measured value The time stamp of , i is the sensor label, i=1,2,…,N, is the measurement value of the i-th sensor at time stamp t stored in the buffer at time k tag value, L is the storage length of the buffer.

[0061] Specifically, the length of the buffer is set to L, and the marked measurement value is:

[0062]

[0063] In the formula, t=k-L+1,...,k.

[0...

Embodiment 2

[0112] This embodiment provides a sensor data calculation device, the calculation device includes a data receiving unit, a data processing unit and a data output unit, wherein,

[0113] The data receiving unit is used for receiving the measurement data of multiple sensors;

[0114] The data processing unit is configured to perform fusion calculation on the measurement data according to the optimal sequential fusion estimation method under the non-ideal channel disclosed in the first embodiment above;

[0115] The data output unit is used to output the fusion calculation result of the data processing unit.

[0116] The technical solution of this application has been described in detail above in conjunction with the accompanying drawings. This application proposes an optimal sequential fusion estimation method under a non-ideal channel, which is suitable for fusion calculation of estimated values ​​of sensors in discrete linear stochastic systems. The method includes: step 1, d...

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Abstract

The invention discloses an optimal sequential fusion estimation method under a non-ideal channel, which is applicable to fusion calculation of estimation values of sensors in a discrete linear randomsystem, and comprises the following steps: step 1, determining fusion initial update time according to measurement values of marked sensors stored in a buffer at adjacent moments; 2, generating a decorrelation coefficient matrix according to the measurement value, and performing decorrelation on the measurement value, the measurement noise and the measurement transfer matrix according to the decorrelation coefficient matrix; and 3, calculating an estimated value of the sensor by using a preset sequential fusion equation according to the fusion initial updating time, the decorrelated measurement value, the measurement noise and the measurement transfer matrix. Through the technical scheme provided by the invention, the problems of noise correlation and communication delay in multi-sensor data fusion are solved, so that the generated estimation value has higher filtering precision and stronger reliability.

Description

technical field [0001] The present application relates to the technical field of communication, in particular, to an optimal sequential fusion estimation method and a sensor data computing device under non-ideal channels. Background technique [0002] In recent years, networked multi-sensor data fusion technology has been widely used in both military and non-military fields. Compared with single-channel systems, multi-sensor systems have the advantages of high estimation accuracy, strong fault tolerance, and wide information coverage in time and space, which can effectively improve system performance. However, with the development of the network, traditional fusion methods are no longer applicable due to problems such as packet loss, time delay and noise correlation in the network. Therefore, academic research on networked data fusion has become a hot spot nowadays. [0003] However, in the prior art, when performing data fusion, usually only how to remove noise correlatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06K9/62
CPCG06F17/16G06F18/251
Inventor 朱翠张善凯王雅妮赵圣健
Owner BEIJING INFORMATION SCI & TECH UNIV
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