DocumentCode
1950281
Title
Adaptive radar clutter suppression
Author
Xu, Yi ; Feng, Wei Feng ; Hao, Jun Yan ; Hwang, H.K.
Author_Institution
Electr. & Comput. Eng., California State Polytech. Univ., Pomona, CA, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
762
Abstract
The clutter return presents a severe problem in target detection for radar systems. Conventional radar systems assume the clutter is stationary, with energy concentrated in the low frequency domain. To minimize the effect of clutter, radar systems use a fixed high pass filter (HPF) to eliminate the clutter. When the target Doppler frequency is below the cutoff frequency of the high pass filter, or the clutter energy does not concentrate on the low frequency domain, the performance of radar system is severely degraded. This paper proposes an adaptive clutter suppression scheme. This scheme provides more efficient clutter suppression for non-stationary clutter and provides the ability to detect a slow moving target. The computer simulation is presented to compare the performance of this adaptive clutter suppression technique and the fixed clutter suppression filter
Keywords
Doppler effect; adaptive filters; adaptive signal processing; filtering theory; high-pass filters; lattice filters; prediction theory; radar clutter; radar detection; radar signal processing; adaptive clutter suppression filter; adaptive radar clutter suppression; clutter energy; clutter return; computer simulation; cutoff frequency; fixed clutter suppression filter; high pass filter; lattice prediction error filter; low frequency domain; nonstationary clutter; radar systems; slow moving target detection; stationary clutter; target Doppler frequency; Adaptive filters; Azimuth; Cutoff frequency; Doppler radar; Energy resolution; Frequency domain analysis; Land surface; Object detection; Radar clutter; Sea surface;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location
Honolulu, HI
Print_ISBN
0-933957-28-9
Type
conf
DOI
10.1109/OCEANS.2001.968216
Filename
968216
Link To Document