Parallel and sequential multisensor extensions of the probabilistic data association filter for multitarget tracking in clutter are presented, and a non-simulation technique is developed and used to compare tracking performance of the two algorithms in case of a single target. While requiring only a fraction of the time for Monte-Carlo simulation evaluation, the non-simulation technique is shown to accurately predict the average superior performance of the sequential implementation in terms of RMS position error and track lifetime which has been observed in simulations.