Parameter Estimation Employing a Dual Channel Sine-wave Model under Sparse Coprime Sampling

In this paper, we consider a dual channel signal model with common frequency that is appropriate in a plurality of measurement setups, including impedance measurements and imbalance measurement in direct conversion RF receivers. We investigate on a new approach and present analysis of parameter estimation, specifically the seven parameter dual channel sine fit in which the signals from both channels are uniformly subsampled with coprime pair of sparse samplers and combined in a single array. Simulation results shall show acquired improvement in complexity as well as loss in estimation performance compared to that of an estimation from Nyquist sampled signal.