Direct cartesian localization in active MIMO radar networks

This paper extends prior work on target position and velocity estimation in active multiple-input multiple-out (MIMO) radar networks by introducing multichannel receivers into the problem formulation. The maximum likelihood estimate (MLE) of target position and velocity is derived assuming all received time-series can be aggregated at a central processor. This is in contrast to methods that first make range, Doppler, and/or angle-of-arrival (AoA) estimates at each receiver. The corresponding Cramér-Rao lower bound (CRLB) is also derived for this problem. Monte Carlo simulations demonstrate that the MLE can attain the CRLB at reasonable signal-to-noise ratios (SNRs) and position/velocity estimation accuracy is improved with respect to the single-channel receiver case.