Moving Target Detection and Classification with Dual-Matched Filter Discriminator for Coherent Jammer Suppression in Cognitive Radar

In this paper, we introduce an integrated moving target detection and classification closed-loop framework that utilizes a nested dual matched filter discriminator (DMFD) for coherent jammer (CJ) suppression. This is accomplished by incorporating the DMFD into a cognitive radar (CRr) framework utilizing the range-Doppler map (RDM) for extended moving target detection and classification. The DMFD is a technique that uses mutual information-based matched illumination transmit waveform to mitigate false target detection in the presence of CJ interference. Unlike traditional single matched filter detectors, the DMFD consist of two matched filters: one matched to the transmit waveform-target response (TWTR) echo and the other matched to the transmit waveform (TW) (i.e. CJ emission). This allows the discriminator to identify and suppress the CJ interference. The results from simulation show that by employing a nested DMFD that iteratively checks for CJ interference, we are able to identify and suppress the CJ emission; thereby achieving a probability of correct classification (
$P_{c}$
) comparable to the
$P_{c}$
in the absence of CJ interference.