Abstract
The author addresses the impact of diverse polarisations on clutter statistics in the context of waveform diversity for multi-functional operation from a specific platform as well as for multiple sensing from multiple platforms. A key issue in this context is that of clutter mitigation via the use of diverse waveforms. Classical space–time adaptive processing (STAP) methods for radar target detection can be viewed in the context of a whiten and match filter. To this end, efficient waveforms that lend themselves for such processing are sought. The author specifically considers a statistical analysis of experimental data collected at low grazing angles to validate the fact that vertical transmit–vertical receive (VV) polarised data conform to Rayleigh scatter, whereas horizontal transmit–horizontal receive data do not. Consequently, VV data are suitable for whiten and match processing adopted in conventional radar STAP.
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