Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
564208 | Signal Processing | 2012 | 9 Pages |
Polarimetric radar systems allow the flexibility of transmitting arbitrarily polarized waveforms that match the scattering profiles of the target. Since different types of targets have varying profiles, the advantages of a polarimetric radar system can fully be exploited only when the type of target is accurately estimated. However, accurate estimation requires a significant amount of training data, which can be expensive. We propose a polarimetric design scheme for distributed multiple input multiple output (MIMO) radar target detection. We formulate the selection of transmit polarizations using a game theoretic framework by examining the impact of all possible transmit schemes on the detection performance with different available target profiles (see also Gogineni and Nehorai, 2011 [1]). This approach does not require training data, and we show a significant performance improvement due to the polarimetric design. Other radar design problems can also be solved using this game theoretic approach.
► Solved polarimetric MIMO radar design problem using a game-theoretic approach. ► This approach to system design doesn't require estimation from training data. ► The complexity of the proposed design is very low. ► It uses the knowledge of the opponent's goal unlike many classical approaches. ► Demonstrated the performance advantage of our approach using numerical examples.