Identification method for horn of special vehicle based on dynamic time warping (DTW) and hidden markov model (HMM) evidence integration

Abstract

The invention discloses an identification method for a horn of a special vehicle based on dynamic time warping (DTW) and hidden markov model (HMM) evidence integration. The identification method for the horn of the special vehicle based on dynamic time warping (DTW) and hidden markov model (HMM) evidence integration comprise a first step of building a vehicle-horn sample library. A second step of preprocessing step. A third step of extracting and dimensionality reduction disposing parameters of vehicle-horn characteristics. A fourth step of identifying the horn of the special vehicle based on the evidence integration, and gaining the DTW identification result and the HMM identification result by respectively adopting DTW algorithm and HMM algorithm. If the DTW identification result and the HMM identification result are consistent, the final identification result is kept consistent with the DTW identification result or the HMM identification result. If the DTW identification result and the HMM identification result are different, the final identification result should be output by an identification decision reasoning with a data set (DS) evidence theory. The identification method for the horn of the special vehicle based on dynamic time warping (DTW) and hidden markov model (HMM) evidence integration adopts integration identification technology and identification rate is high.

Description

technical field [0001] The invention relates to a special car whistle recognition method based on DTW and HMM evidence fusion, wherein DTW (Dynamic Time Warping) is a dynamic time rounding algorithm, and HMM (Hidden Markov Model) is a hidden Markov model. Background technique [0002] Sound is one of the main carriers of information, and people obtain information mainly through sound besides vision. With the rapid development of information technology, the era of intelligence has already arrived, and the detection, identification and positioning of acoustic targets have been widely used in many fields. At the same time, acoustic detection and recognition technology has become an indispensable part in information warfare, industrial production and other fields. In foreign military powers, acoustic detection and recognition technology has been successfully applied to the development of anti-helicopter and anti-tank intelligent mine bombs. An unmanned vehicle is a comprehensi...

AI Technical Summary

Problems solved by technology

Before the present invention, the Mahalanobis distance matching method sets a fixed threshold, which is too simple to obtain a good recognition detection rate; the neural network has high nonlinearity and strong classification ability, but as the network increases, the learning time increases exponentially, and its The generalization ability needs to be further analyzed, and the local minimum problem is also one of its shortcomings; support vector machine (SVM) is a binary recognition method, and multiple binary SVMs need to be designed to recognize and realize multi-category whistle recognition

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