Traditional adaptive detectors are mostly derived under the assumption of independent and identically distributed texture. However, the texture correlation along the range cell exists in real sea clutter datasets. A new coherent detector based on texture structure is proposed by adding the information of texture correlation into the likelihood ratio test. Based on the prior knowledge that the texture correlation along range is generated by the swell modulation, the number of range cells related to the texture of the Cell Under Test (CUT) is determined, and this number provides the information for the texture of CUT. Experimental results using real datasets show that the proposed detector has better performance in comparison with the optimal detector in compound-Gaussian clutter with inverse gamma texture.
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