THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

265 / 2020-01-04 14:47:00

Knowledge-Aided Adaptive Detection of Radar Target in Gaussian Clutter

Target detection; Priori knowledge; MIMO radar

This paper presents an adaptive detection method of radar target using the prior knowledge of Gaussian clutter. It is assumed that the clutter covariance matrix is random and obeys the inverse complex Wishart distribution. Based on the priori knowledge, we propose an adaptive detector via utilizing the generalized likelihood ratio test. The proposed adaptive detector does not need training data and detection performance can be achieved due to the use of a prior knowledge about the clutter. Finally, the detection performance of the proposed detector is evaluated with experimental data and the results illustrate that the proposed detector is superior to the conventional counterparts.