EEMD-based vehicle micro-tremor signal extraction and classification method
A classification method and signal extraction technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of no self-adaptation
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[0055] The following is a further analysis of the present invention in combination with specific embodiments.
[0056] In this embodiment, simulation data is used as training samples, and a large amount of data is generated as a training sample set by continuously changing the direction angle range (0-60 degrees) and vehicle speed (0-20m / s), and then the training sample set is divided into There are 5 subsets, and the data of each subset is obtained from the training sample set at equal intervals. The purpose of this is to ensure that each subset contains each posture of the target sample and ensure the stability of the training sample set. Other simulation parameters used in the experiment are shown in the following table:
[0057] Table 1 Simulation radar parameters
[0058]
[0059] There are two main types of targets in the test sample: wheeled vehicles and tracked vehicles. This embodiment generates multiple sets of test data by randomly changing the speed and direction angle ...
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