Paper Info
Title
A low-complexity RARE-based 2-D DOA estimation algorithm for a mixture of circular and strictly noncircular sources
Abstract
A new rank reduction (RARE)-based two-dimensional (2-D) direction of arrival (DOA) estimation algorithm is proposed considering a mixture of circular and strictly noncircular sources. To enhance array aperture, a geometry of three uniform linear arrays is considered and then treated as displaced arrays from a virtual array using a simple linear transformation. The received data and the conjugated counterpart are combined together, exploiting the noncircular property. Both sources can be estimated separately by designing and exploiting the distinctive nature of circular and noncircular steering vectors. However, a 2-D spectrum search would lead to a high computational complexity burden. To reduce this high computational complexity burden, a novel RARE-based method is proposed, which plays a vital role by decomposing 2-D observation space into two successive 1-D peak search functions. The proposed method has some distinctive advantages: it can enhance the array aperture utilization, it can provide better estimation accuracy when mixed sources are greater than the number of sensors, it can estimate a larger number of mixed sources than the number of sensors, and finally it can automatically pair 2-D DOAs without any complicated pairing formulation. Extensive simulation results are provided to demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2018
10.3906/elk-1803-76
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
Keywords
DocType
Volume
Rank reduction,two-dimensional,direction of arrival,circular and strictly noncircular sources,uniform linear arrays,underdetermined,array aperture utilization
Journal
26
Issue
ISSN
Citations 
5.0
1300-0632
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Kashif Shabir112.05
Tarek Hasan Al Mahmud212.39
Rui Zheng310616.04
Zhongfu Ye437949.33