Cross positioning method based on energy fusion and density clustering

Abstract

The invention relates to a cross positioning method based on energy fusion and density clustering. The cross positioning method comprises the following steps of 1, obtaining an array receiving signal and generating a one-dimensional azimuth energy estimation spectrum; 2, performing grid division on the region of interest, and inverting the one-dimensional azimuth energy estimation spectrum of each array to a two-dimensional grid region in combination with propagation loss; step 3, fusing the two-dimensional energy spectrums of the arrays obtained in the step 2 to obtain a multi-array fusion energy spectrum on the two-dimensional grid region; according to the method, the one-dimensional azimuth energy estimation spectrum generated by the multi-array receiving signals is combined with the signal propagation loss model to be inversed to the two-dimensional grid area, the two-dimensional energy spectrum of each array is formed, the two-dimensional fusion energy spectrum is generated by adopting the fusion strategy, the target signal features are remarkably enhanced, noise interference is restrained, and the method is suitable for large-scale popularization and application. According to the invention, false target points in cross positioning are effectively reduced, positioning precision and reliability are improved, automatic processing is realized, and dependence on manual intervention is reduced.

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