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Motion Compensation of Moving Targets for High Range Resolution Stepped-Frequency Radar

View Article: PubMed Central

ABSTRACT

High range resolution (HRR) profiling using stepped-frequency pulse trains suffers from range shift and the attenuation/dispersion of range profiles while the target of interest is moving. To overcome these two drawbacks, a new algorithm based on the maximum likelihood (ML) estimation is proposed in this paper. Without altering the conventional stepped-frequency waveform, this algorithm can estimate the target velocity and thereby compensate the phase errors caused by the target's motion. It is shown that the velocity can be accurately estimated and the range profile can be correctly reconstructed.

No MeSH data available.


Simulation results of the moving target including seven scatterers.
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f2-sensors-08-03429: Simulation results of the moving target including seven scatterers.

Mentions: The number of scatterers is obtained through the MDL criterion and the radial velocity is estimated by the SMLE. Simulation results are presented in Figure 2.


Motion Compensation of Moving Targets for High Range Resolution Stepped-Frequency Radar
Simulation results of the moving target including seven scatterers.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3675552&req=5

f2-sensors-08-03429: Simulation results of the moving target including seven scatterers.
Mentions: The number of scatterers is obtained through the MDL criterion and the radial velocity is estimated by the SMLE. Simulation results are presented in Figure 2.

View Article: PubMed Central

ABSTRACT

High range resolution (HRR) profiling using stepped-frequency pulse trains suffers from range shift and the attenuation/dispersion of range profiles while the target of interest is moving. To overcome these two drawbacks, a new algorithm based on the maximum likelihood (ML) estimation is proposed in this paper. Without altering the conventional stepped-frequency waveform, this algorithm can estimate the target velocity and thereby compensate the phase errors caused by the target's motion. It is shown that the velocity can be accurately estimated and the range profile can be correctly reconstructed.

No MeSH data available.