Gaia Rossetti

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We propose convex optimization based waveform designs for cognitive radar networks. The Multiple Input Multiple Output (MIMO) nature of the considered model as well as the cognitive capabilities provided by the joint adaptation of receiver and transmitter and some initial knowledge on the environment, make these algorithms suitable for cognitive radar(More)
We propose a convex optimization based waveform design technique for bi-static radars. The method exploits prior knowledge of the environment including clutter statistics to maximize accumulated target return signal power while keeping the disturbance power to unity at both the radar receivers. The problem was solved using an iterative optimization approach(More)
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