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Research on the Trajectory Consistency based on Mahalanobis distance method
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Abstract
For the average trajectory consistency test, the density is good, which leads to the problem of poor consistency. This paper proposes to use the Mahalanobis distance method to process the test data of two kinds of ammunition. First, each pair of values in a set of tests is obtained through experiments. The obtained data is processed by the Mahalanobis distance method for relative distance processing. Then the mean and variance of the distance data of the two ammunition are calculated. In the simulation test, the data of tests which are processed by the Mahalanobis distance method. The consistency of the two ammunition is checked according to the trajectory consistency test method. The test data using the Mahalanobis distance method can better than the data of the two ammunition in the consistency. The test data processed by the Mahalanobis distance method can improve the situation of good density and poor consistency in the consistency test, and provide technical support for the subsequent average trajectory consistency test.
Title: Research on the Trajectory Consistency based on Mahalanobis distance method
Description:
Abstract
For the average trajectory consistency test, the density is good, which leads to the problem of poor consistency.
This paper proposes to use the Mahalanobis distance method to process the test data of two kinds of ammunition.
First, each pair of values in a set of tests is obtained through experiments.
The obtained data is processed by the Mahalanobis distance method for relative distance processing.
Then the mean and variance of the distance data of the two ammunition are calculated.
In the simulation test, the data of tests which are processed by the Mahalanobis distance method.
The consistency of the two ammunition is checked according to the trajectory consistency test method.
The test data using the Mahalanobis distance method can better than the data of the two ammunition in the consistency.
The test data processed by the Mahalanobis distance method can improve the situation of good density and poor consistency in the consistency test, and provide technical support for the subsequent average trajectory consistency test.
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