Volume 9 Number 9 (Sep. 2014)
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JCP 2014 Vol.9(9): 2100-2106 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2100-2106

Adaptive DOA Estimation in MIMO Radar based on Canonical Correlation Analysis Method

Zhifeng Gao1, Xiyuan Peng2, and Yu Peng2
1Harbin Institute of Technology, Automatic Test and Control Institute, Harbin, China
 Shandong University, Department of Mechanical, Electrical and Information, Weihai, China
2Harbin Institute of Technology, Automatic Test and Control Institute, Harbin, China


Abstract—In multiple-input multiple-output (MIMO) radar, independent waveforms are transmitted from different antennas, and the target parameters are estimated via the linearly independent echoes from different targets. Several adaptive approaches are directly applied to target angle and target amplitude estimation, including Capon, APES (amplitude and phase estimation). The CCA (canonical correlation analysis) approach is first proposed to estimate target locations which has high peak amplitudes, then a gradient-based algorithm is presented to improve the target angle estimation accuracy based on CCA approach without spectrum peak searching. With an initial angle, the angle sequence is iteratively updated with adaptive steps and converges to local peaks which indicate the target locations. Simulations show that the target angle accuracy is improved, and the common DOA (direction-of-arrive) problem is avoided.

Index Terms—parameter estimation, multiple-input multiple-output, gradient function, adaptive step

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Cite: Zhifeng Gao, Xiyuan Peng, and Yu Peng, "Adaptive DOA Estimation in MIMO Radar based on Canonical Correlation Analysis Method," Journal of Computers vol. 9, no. 9, pp. 2100-2106, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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