An improved multi-target data association method for automotive radar is pr
esented. The new approach is formulated using the association probabilities
of the joint probabilistic data association (JPDA) filter. An optimal trac
k-to-measurement data association is accomplished using the decision logic
algorithm. Simulation results in heavily cluttered conditions show that the
tracking accuracy of the proposed method is about 19% better than that of
the JPDA filter.