Radar Target Detection Aided by Log-Normal Texture Range Correlation in Sea Clutter

The traditional radar adaptive target detectors in sea clutter usually assumes that the clutter texture is independent and identically distributed in the range dimension, ignoring the correlation information of the texture in the range dimension. In order to improve the adaptive detection performance of radar targets in sea clutter with texture range correlation, the texture component of compound Gaussian sea clutter is modeled as a lognormal random variable, and then a generalized likelihood ratio test with homogeneous lognormal texture detector is proposed based on the generalized likelihood ratio test. The proposed detector uses the prior distribution of texture and the correlated information of texture range. The simulation and the measured data beging used show that the detection probability of this detector for radar targets in compound Gaussian sea clutter with texture range correlation is higher than that of the existing detectors. © 2024 Science Press. All rights reserved.