DOA Estimation to Mixed Signals in the Presence of Gain-Phase Perturbation
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The traditional direction of arrival (DOA) estimation method is very sensitive to the array perturbation, but there are often various errors or perturbations in application, which directly influence the estimation seriously. Therefore, we address the problem of direction of arrival (DOA) estimation to mixed far-filed and near-field signals in the presence of gain-phase perturbation, which can effectively calculate the DOA of far-field signal (FS) and location of near-field signal (NS). First, the spatial spectrum of FS is simplified according to the structure of the array, thus, the DOA can be obtained by finding the roots of the corresponding determinant. Second, gain-phase perturbation is determined based on the orthogonality between noise subspace and signal subspace of FS. Finally, DOA of NS is skillfully acquired through matrix transformation, and then their location can also be decided in the open space. Simulation results demonstrate the effectiveness of the proposed method.
KeywordsDirection of arrival Gain-phase perturbation Far-field signal Near-field signal
This work was supported by the National Natural Science Foundation of China (61501176) and the University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (UNPYSCT-2016017).
- 13.Mohamedatni Y, Fergani B, Laheurte B et al (2015) DOA estimation techniques applied to RFID tags using receiving uniform linear array. In: 2015 I.E. International Symposium on Antenna and Propagation and USNC/URSI National Radio Science Meeting. International Union of Radio Science, Vancouver, p 1760–1761Google Scholar
- 14.Han G, Wan L, Shu L et al (2015) Two Novel DOA Estimation Approaches for Real-Time Assistant Calibration Systems in Future Vehicle Industrial. IEEE Sys J 99:1–12Google Scholar
- 27.He K, Wang WH, Cui XM (2014) A calibration method for position, gain and phase uncertainty of nonplanar array with arbitrary geometry. In: 2014 I.E. International Conference on Signal Processing, Communications and Computing. ICSPCC, Guilin, China, pp 587–590Google Scholar
- 30.Wang K, Wang L, Shang JR (2016) Mixed Near-Field and Far-Field Source Localization Based on Uniform Linear Array Partition. IEEE Sensors J 16:8083–8090Google Scholar