PROJECT TITLE :
Knowledge-based design of space–time transmit code and receive filter for a multiple-input–multiple-output radar in signal-dependent interference
The authors cope with the robust design of multiple-input-multiple-output (MIMO) space-time transmit code (STTC) and space-time receive filter (STRF) for a point-like target embedded in signal-dependent interference. Specifically, they assume that the radar exploits data provided by dynamic environmental database, to roughly predict the particular scattering scenario. Then, they devise an iterative method to optimise the (constrained) STTC and therefore the (constrained) STRF that sequentially improves the worst-case (over interfering scatterers statistics) signal-to-interference-and-noise ratio (SINR). Each iteration of the algorithm is handled via solving 2 (hidden) convex optimisation issues. The ensuing computational complexity is linear with the amount of iterations and polynomial with the sizes of the STTC and the STRF. At the analysis stage, they assess the performance of the proposed algorithm in terms of the achieved SINR. They show that properly exploiting the spatial degrees of freedom offered by the MIMO system, it's doable to obtain considerable SINR gains with respect to the traditional single-input-single-output system. Moreover, their results highlight the aptitude of the proposed technique to robustify the performance of the designed system against possible information inaccuracies.
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