Adaptive pulse compression via MMSE estimation

Radar pulse compression involves the extraction of an estimate of the range profile illuminated by a radar in the presence of noise. A problem inherent to pulse compression is the masking of small targets by large nearby targets due to the range sidelobes that result from standard matched filtering....

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2006-04, Vol.42 (2), p.572-584
Main Authors: Blunt, S.D., Gerlach, K.
Format: Article
Language:English
Subjects:
Adaptive filters
Air traffic control
Autocorrelation
Filtering
Filtration
Gaussian noise
Masking
Matched filters
Phase modulation
Pulse compression
Pulse compression methods
Pulse modulation
Radar
Radar scattering
Sidelobes
Signal to noise ratio
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Summary:Radar pulse compression involves the extraction of an estimate of the range profile illuminated by a radar in the presence of noise. A problem inherent to pulse compression is the masking of small targets by large nearby targets due to the range sidelobes that result from standard matched filtering. This paper presents a new approach based upon a minimum mean-square error (MMSE) formulation in which the pulse compression filter for each individual range cell is adaptively estimated from the received signal in order to mitigate the masking interference resulting from matched filtering in the vicinity of large targets. The proposed method is compared with the standard matched filter and least-squares (LS) estimation and is shown to be superior over a variety of stressing scenarios.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2006.1642573