DocumentCode
7546
Title
Fast adaptive pulse compression based on matched filter outputs
Author
Zhengzheng Li ; Yan Zhang ; Shang Wang ; Lihua Li ; Mclinden, Matthew
Author_Institution
Adv. Radar Res. Center Norman, Norman, OK, USA
Volume
51
Issue
1
fYear
2015
fDate
Jan-15
Firstpage
548
Lastpage
564
Abstract
An adaptive pulse compression (APC) algorithm is developed, based on the concept of minimum mean square error (MMSE), that utilizes matched filter (MF) output as its input and is termed Matched-Filter-Reiterative-MMSE (MF-RMMSE). MF-RMMSE allows the use of a smaller processing window than traditional reiterative-MMSE (RMMSE) but achieves identical performance at side-lobe suppression, and thus the computational load is reduced. MF-RMMSE also facilitates the implementation of APC to current radar sensors, since the existing MF implementations can be untouched. The derivation of MF-RMMSE is provided in detail, and its performance is validated through both simulations and actual airborne radar measurements for "mixed-target" observations, which includes both hard targets and distributed weather targets.
Keywords
airborne radar; data compression; iterative methods; least mean squares methods; matched filters; radar signal processing; MF-RMMSE; airborne radar measurements; computational load reduction; distributed weather targets; fast adaptive pulse compression aglorithm; hard targets; identical performance; matched filter outputs; matched-filter-reiterative-MMSE; minimum mean square error; mixed-target observations; processing window; radar sensors; side-lobe suppression; Correlation; Doppler effect; Impedance matching; Radar; Signal to noise ratio; Vectors;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2014.130544
Filename
7073512
Link To Document