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

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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.