  In this work we develop clustering techniques for the Bearing Only Target
Localization (BOTL) problem. Our scenario has a receiver move along some path,
generating bearing estimates on some interval. Multiple emitting targets exist
in the environment, and may be physically close with respect to the receiver
distance. The first method is iterative and uses only a series of observed
bearings to multiple targets to establish clusters. In each iteration, target
positions are estimated using a nonlinear least squares solution. The second
technique uses additional polarization information, and is shown to be more
effective while requiring more information. In addition the second technique is
non-iterative and requires far less computation. In this work we presume
knowledge of the number of targets. We conclude by providing simulations of our
method and show that the proposed approach outperforms previously proposed
methods.
