Multidimensional Spatial Sound Recognition Technology Based on Radar Signal Conversion
To increase the recognition methods of radar signals,a multi-dimensional spatial sound recognition technology based on radar signal conversion is proposed.Firstly,concatenate the pulse type radar signals into continuous feature sound signals.Secondly,use Gaussian Mixed Model(GMM)to train the concatenated sound signal.Thirdly,according to the GMM criterion,the unknown radar target is transformed into a feature vector,and compared with the trained multidimensional feature vector to obtain the maximum output probability type of the unknown acoustic target.Finally,conduct experimental analysis.The experimental results show that using multi-dimensional spatial sound recognition technology based on radar signal conversion can effectively identify different types of radar targets,providing a special recognition feature for identifying radar signals.
radar target recognitionsound target recognitionmultidimensional feature space
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