DocumentCode
2885205
Title
Novel Direction-of-Arrival Estimation Techniques for Periodic-Sense Local Positioning Systems
Author
Pourrostam, J. ; Zekavat, Seyed A. ; Tong, Hui
Author_Institution
Michigan Technol. Univ., Houghton
fYear
2007
fDate
17-20 April 2007
Firstpage
568
Lastpage
573
Abstract
This paper introduces novel direction-of-arrival (DOA) estimation techniques for periodic sense positioning systems (e.g., pulse radar systems and wireless local positioning systems). Periodic signaling between a tracker (e.g., dynamic base station) and a target (e.g., transceiver) in these systems introduces a nature of cyclostationarity to the received signal at the receiver of the tracker. The cyclostationary nature of the received signal is analyzed theoretically and via simulations in terms of system parameters such as number of targets, average speed of targets, bandwidth, coverage range and HPBW (half power beam width) of the tracker antenna array. Exploiting the introduced cyclostationarity property, novel DOA estimation schemes are proposed to improve DOA estimation performance of the tracker. The performance measure is the DOA estimation mean square error (MSE). Simulations are conducted to study the performance in terms of signal to noise ratio and number of targets. The results confirm the superiority of the proposed approaches.
Keywords
antenna arrays; direction-of-arrival estimation; radionavigation; telecommunication signalling; DOA estimation techniques; direction-of-arrival estimation techniques; mean square error; periodic signaling; periodic-sense local positioning systems; signal to noise ratio; tracker antenna array; Analytical models; Bandwidth; Base stations; Direction of arrival estimation; Radar tracking; Receiving antennas; Signal analysis; Target tracking; Transceivers; Wireless sensor networks; Antenna arrays; Cyclostationarity; DOA estimation; Local Positioning Systems; Periodic Signaling;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2007 IEEE
Conference_Location
Boston, MA
ISSN
1097-5659
Print_ISBN
1-4244-0284-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2007.374281
Filename
4250375
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