Two dimensional optimal linear detector for slowly fluctuating target

In this paper, we propose a two dimensional optimal linear detector (2-D OLD) for slowly fluctuating target in Gaussian interference. We assume that the samples of received signal in the range and in the successive pulsation times are collected in a two dimensional array. In conventional detectors, each column of this matrix (the Samples of the same pulsation time) is detected separately and the binary results may be integrated for successive pulsation times in order to improve the detection performance. In fact, by applying binary integration, we ignore the considerable correlation among 2-D data in the azimuth direction. In the proposed 2-D OLD detector, this correlation is considered, aiming to improve the detection performance. Our simulations show that, this detector outperforms conventional one dimensional OLD, as well as the AND and the OR binary integrators. This improvement is more considerable, whenever the clutter samples are more correlated in azimuth direction.