Abstract
Exploiting the received signals, which are usually not employed in the traditional OTH radar for ionospheric parameter estimation, we study joint estimation of target and ionospheric parameters for multiple-input multiple-output skywave OTH (MIMO-OTH) radar. We employ a parabolic layer model to characterize the ionospheric distortions. We model the target and ionospheric parameters as deterministic and random unknowns, respectively, and carry out the joint estimation using a hybrid maximum likelihood and maximum a posterior (ML/MAP) method. The corresponding hybrid Cramer-Rao bound (HCRB) is derived. We show that the proposed joint estimation approach leads to an improved accuracy for the target and ionospheric parameter estimation compared with the traditional methods.
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