Introduction - If you have any usage issues, please Google them yourself
An unsatisfactory property of particle filters is that they
May become inefficient when the observation noise is low.
In this paper we consider a simple to implement particle filter,
Called 'LIS -based particle filter', whose aim is to overcome
The above mentioned weakness. LIS-based particle
Filters sample the particles in a two-stage process that USES
Information of the most recent observation, too
With the standard bearings - only tracking problem indicate
The proposed new particle filter method is indeed
Viable alternative to other methods.