NDLI: Reduced-Dimension DOA and DOD Estimation with Real-Valued Implementation for Bistatic MIMO Radars

Content Provider	Springer Nature Link
Author	Chang, Ann Chen
Copyright Year	2015
Abstract	In this paper, a reduced-dimension based direction of arrival (DOA) and direction of departure (DOD) estimator with real-valued implementation is presented by introducing a preprocessing transformation for bistatic multiple-input multiple-output radars is addressed. First, a two-dimensional searching estimator by exploiting unitary multiple signal classification (UMUSIC) technique with automatic pairing is presented. Second, this paper also presents a reduced-dimension (RD) UMUSIC (RD-UMUSIC) estimator by utilizing the characteristic of Kronecker product, which only requires a one-dimensional search for DOA estimation. Following this, the angle of DOD corresponding to the estimated DOA is obtained by using a shaping DOD steering vector approach. Furthermore, the DOA and DOD pairing is given automatically. The proposed estimator has low computational complexity due to the preprocessing unitary transformation and RD approaches. Finally, simulation results are presented to verify the efficiency of the proposed estimator.
Starting Page	1061
Ending Page	1070
Page Count	10
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	85
Issue Number	3
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-06-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bistatic radar Angle estimation Multiple-input multiple-output Multiple signal classification Unitary transformation Reduced-dimension Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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