Abstract
This paper deals with the problem of adaptive detecting a range-spread target against compound Gaussian sea clutter. Sea clutter consists of Gaussian speckle modulated by random texture. With inverse Gamma distributed texture, we obtain an approximate expression of the joint probability density function of received echoes based on the Laplace approximate method. The generalized likelihood ratio test (GLRT) is simplified by using the approximate expression, and a Laplace approximation based on GLRT (LA-GLRT) is proposed. Experimental results show that, to detect a range-spread target in real sea clutter with small integrated pulses, the LA-GLRT outperforms the competitors owing to its better description of texture.
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