Multidimensional Signal Processing for Sensing & Communications.

摘要

The objective of this effort was to enhance sensitivity for radar and multi-mode communication systems in the presence of interference, which can be coupled across the dimensions of space, slow-time, and fast-time according to the operating mode. In particular, the effort focused on waveform-diverse emission schemes including MIMO radar, pulse-agile radar, and intra-pulse radar-embedded communications. Leveraging the notion of STAP used for clutter cancellation in airborne/space radar, the increase in degrees of freedom afforded by multidimensional coupling was explored to improve receive detection/estimation performance via the resulting increased diversity of the transmit signal. This effort addressed the mathematical modeling and optimization of multidimensional emissions through the use of analytical structures for physical waveform implementation. Likewise, appropriate structures for interference cancellation on receive were investigated. The waveform-diverse embedding of LPI communications into radar clutter was likewise examined.