Power mid value and normalization covariance estimation based sea-surface target detection method

Abstract

The invention discloses a power mid value and normalization covariance estimation based sea-surface target detection method. The method comprises the steps of step 1, obtaining pulse compressed echo data X; step 2, setting the number S of reference distance units and the number D of protection distance units; step 3, selecting to-be-detected distance units and a reference distance units; step 4, evaluating the power mid value C of the reference distance units; step 5, computing a normalization covariance matrix (img file='DDA0000504563170000011.TIF' wi='82' he='79' / ); step 6, computing a novel covariance matrix (img file='DDA0000504563170000012.TIF' wi='52' he='77' / ) and computing detection statistics epsilon; step 7, comparing the detection statistics epsilon with a detection threshold T epsilon to determine whether a target exists. According to the method, the problem of the poor detection performance in the homogeneous clutter environment of prior methods is solved, effects of power fluctuation among the reference distance units on the uniform clutter environment can be effectively suppressed, the detector detection performance is improved, and the method can be used for target detection of radar in the sea clutter background.

Description

technical field [0001] The invention belongs to the field of radar target detection, in particular to a sea surface target detection method based on power median and normalized covariance estimation, which is used for radar target detection under the background of sea clutter. Background technique [0002] Target detection in the background of sea clutter is an important application field in radar target detection. Due to the large average power of sea clutter, strong temporal-spatial correlation, and complex statistical characteristics, target detection in the background of sea clutter is also a research difficulty in the field of radar detection. [0003] At present, the commonly used adaptive matching detection method is a kind of coherent detection method. The multi-pulse matching accumulation results of each distance unit are used as the detection statistics to perform target detection, such as F.C.Robey, D.R.Fuhrmann, E.J.Kelly "A CFAR adaptive matched filter detector...

AI Technical Summary

Problems solved by technology

The existence of these abnormal distance units will cause the condition number of the estimated covariance matrix to be large, resulting in unstable detector values ​​and unreliable detection results.

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