Target Tracking with Glint Noise
Master Thesis, Report UPTEC F00064, August 2000.
Target tracking represents estimation of position, velocity
and acceleration of a target. The estimation must handle
different pertubations. One of the
pertubations is glint noise. Glint noise occurs when a radar
is used in target tracking because of interference between the
refelected radar waves.
Glint noise is non-Gaussian which make the estimation
more difficult. One of the most common
target tracking methods today is the Kalman filter.
This method assumes the pertubations to be gaussian
but this will not be true for glint noise.
This report studies three methods, the Kalman filter,
the Kalman smoother and the use of Layered
Interacting Multiple Models (LIMM),
for target tracking with glint noise.
The glint noise is modelled in two different ways.
One model is a statistical mixture between
Gaussian noise and Laplacian noise. The second model assumes the
target to be well described by six point reflectors, whereafter the
pertubations are calculated.
The behaviour of the methods is compared by using
two different target tracks.
The relative order of performance between the methods
is independent of target track and the
method that has the best performance is LIMM.
- SAAB (Bofors Missiles)
- Thesis Advisor:
- Mikael Sternad