In this correspondence, we determine the optimal pulse shape for estimating
positions of superimposed pulses by deriving the Cramer-Rao lower bound (C
RLB) on the average estimation error variance and numerically optimizing it
with respect to pulse shape. Our results show that a significant improveme
nt in estimation error variance can be achieved relative to Gaussian and re
ctangular pulse shapes.