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. Experiments
with the standard bearings-only tracking problem indicate
that the proposed new particle filter method is indeed
a viable alternative to other methods.
標(biāo)簽：
unsatisfactory
inefficient
property
particle
上傳時(shí)間：
2014-01-11
上傳用戶：大三三
