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Author Rowe, W. ♦ Karlsson, J. ♦ Luzhou Xu ♦ Jian Li
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Clutter ♦ MIMO radar ♦ Arrays ♦ Radar imaging ♦ MIMO ♦ Vectors
Abstract In some radar operating environments multipath clutter is the dominant source of interference. Since the multipath clutter may hide the desired target returns, an effective method of clutter suppression is required. MIMO radar systems can discriminate multipath returns from target returns by estimating the directions of departure and arrival. Multipath clutter suppression using the conventional beamformer is not effective when the multipath returns are much stronger than the target returns. However, effective multipath clutter suppression can be achieved by using an adaptive transmit beamformer in conjunction with an adaptive receive beamformer while still illuminating the entire scene. This work explores the simulated performance of a MIMO radar system with two adaptive filtering algorithms: Iterative Adaptive Approach and Sparse Learning via Iterative Minimization. Simulation results show that these algorithms effectively suppress multipath returns at the cost of increased computational complexity.
Description Author affiliation: University of Florida, USA (Rowe, W.; Karlsson, J.; Luzhou Xu; Jian Li)
ISBN 9781467310703
ISSN 2151870X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-06-17
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467310710
Size (in Bytes) 484.30 kB
Page Count 4
Starting Page 29
Ending Page 32

Source: IEEE Xplore Digital Library