UWB Multicarrier Radar Target Scene Identification With 2-D Diversity Utilization and GLRT Refinement

In this letter, we present a novel approach to target scene identification using ultrawideband software-defined radar system, which utilizes frequency-angle diversity and refines the decision via the numerically implemented generalized likelihood ratio test. The two stages of the method are discussed, as well as the Monte Carlo statistical simulation and its results. The experimental results are presented for two very similar target scenes, each of which had been successfully identified using training data available for five different scenarios. The proposed approach is tailored for use in multicarrier radar sensor systems; specifically, an orthogonal frequency division multiplexing system is considered in this letter.