11-04-2012, 03:46 PM
Application of Butterworth Filter in Display of Radar Target Track
[attachment=19929]
INTRODUCTION
A mass of noise signal is always involved in the
radar target track data for the effects of radar clutter,
cloud, rain, and radar cross-section (RCS) and so on.
The noise disturbs the target identification in the
display screen, which causes the illusion the target is
fluttering. Many filter techniques to resolve this
problem, such as Kalman filtering, least squares
procedure, α −β filtering, are state estimation
methods based on time series, and must consider the
target’s past state, locus model, and interrelated prior
knowledge.
FILTERING METHOD FOR RADAR TARGET
TRACK
Compared with the magnitude of radar data in
space-time plane, the power of noise or error is very
weak. For example, generally, the order of magnitude
of radar data is 106 meter in geocentric coordinate
system, but the error is only several hundreds meter
at most. So the data of error must be converted to
reduce the signal-to-noise ratio (SNR).
EXAMPLE AND SIMULATION
Take one radar data as an example to filter out the
noise from geocentric coordinates x and z , and
contrast it with the actual value. As show in Fig.1,
the sampling frequency of radar data is 1Hz.
CONCLUSION
In this research, Butterworth filter has been
developed to smooth radar target track and to observe
the flight more factually in control center. This
method has the advantages as follows: 1) Only think
the spectrum distribution of signal, and can neglect
[attachment=19929]
INTRODUCTION
A mass of noise signal is always involved in the
radar target track data for the effects of radar clutter,
cloud, rain, and radar cross-section (RCS) and so on.
The noise disturbs the target identification in the
display screen, which causes the illusion the target is
fluttering. Many filter techniques to resolve this
problem, such as Kalman filtering, least squares
procedure, α −β filtering, are state estimation
methods based on time series, and must consider the
target’s past state, locus model, and interrelated prior
knowledge.
FILTERING METHOD FOR RADAR TARGET
TRACK
Compared with the magnitude of radar data in
space-time plane, the power of noise or error is very
weak. For example, generally, the order of magnitude
of radar data is 106 meter in geocentric coordinate
system, but the error is only several hundreds meter
at most. So the data of error must be converted to
reduce the signal-to-noise ratio (SNR).
EXAMPLE AND SIMULATION
Take one radar data as an example to filter out the
noise from geocentric coordinates x and z , and
contrast it with the actual value. As show in Fig.1,
the sampling frequency of radar data is 1Hz.
CONCLUSION
In this research, Butterworth filter has been
developed to smooth radar target track and to observe
the flight more factually in control center. This
method has the advantages as follows: 1) Only think
the spectrum distribution of signal, and can neglect