Marine target detection method based on power spectrum box dimension

Abstract

The invention discloses a marine target detection method based on the power spectrum box dimension, and belongs to the technical field of radar signal processing. The method includes obtaining a timesequence X of sea clutter echoes, and adopting a periodogram method to calculate a power spectrum S(f) of the sea clutter echoes to obtain a power spectrum sequence S of the sea clutter echoes; performing maximum value normalization processing on the power spectrum sequence S to obtain a normalized power spectrum sequence Su; and setting the grid size delta of the box dimension, calculating the box dimension D of the power spectrum sequence, using the box dimension D as statistics inspection amount to design a nonparametric constant false alarm detector, and completing radar target detection.Detection performance of the method is better than a statistical model-based detection algorithm and an existing time domain fractal dimension detection algorithm, and improves detection performance of a marine target under a low signal to clutter ratio condition.

Description

technical field [0001] The invention relates to a sea target detection method based on power spectrum box dimension. The method is used to improve the performance of target detection under the background of sea clutter, is suitable for early warning radar in the sea working mode, and belongs to the technical field of radar signal processing. Background technique [0002] The traditional target detection method under the background of sea clutter is based on the amplitude statistical distribution model of sea clutter, and the detection scheme and detection threshold factor are determined through the model matching results. The most typical method is the mean constant false alarm detection method (ML- CFAR), including: unit average constant false alarm (CA-CFAR), unit average selected large constant false alarm (GO-CFAR) and unit average selected small constant false alarm (SO-CFAR). Existing literature studies on measured sea clutter data show that sea clutter has nonlinear a...

AI Technical Summary

Problems solved by technology

[0004] The technical problem of the present invention is: to overcome the problem of detection performance degradation caused by model mismatch based on the statistical model method, the method starts from the fractal characteristics of sea clutter, and improves the shortcomings of the existing time-domain box dimension detection method at the same time, At the same time, using the amplitude and phase information of the echo, the characteristic parameters of the sea clutter are extracted from the power spectrum domain, and the target detection performance in the sea clutter background is improved.

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