Adaptive waveform and Cartesian estimate selection for multistatic target tracking
A new multistatic tracking algorithm is proposed. The novel feature is joint adaptive selection of waveform and Cartesian estimate. The CRLBs of Cartesian estimates are derived and exploited in the selection scheme. The elliptic-to-Cartesian transformations are derived in a general geometry. The performance advantages of the proposed algorithm are demonstrated.
cartesian estimate selection target tracking cramrrao lower bound multistatic radar adaptive waveform selection kalman filter