Space and frequency diversity for moving personnel spectrogram estimation

In this paper we investigate the application of frequency and space diversity as a mean for providing a better understanding of the features of a target. For this purpose space diversity is exploited for developing a way for processing the information gathered through multistatic measurements of moving targets. The aim is to decompose and rearrange the gathered information, which can be of interest when the radar network is comprised of a multitude of devices. Processing appropriately angle-diverse spectrograms can actually help recovering side-effects due to the movement of the target, such as shadowing of characteristic features. Although in this paper the targets are moving persons, the presented technique can be applied to any class of targets. In addition the effects of the variation of the carrier frequency are also investigated. This allows us to understand the potential of having an increased discrimination of the features and to compare the effects of the proposed technique.