ZHANG Yan-kui, XU Hai-yun, BA Bin, et al. Direction-of-Arrival Destimation for Multiple Sources Based on the Reconstruction of the Coprime Array[J]. Acta Electronica Sinica, 2018, 46(12): 2923-2929.
DOI:
ZHANG Yan-kui, XU Hai-yun, BA Bin, et al. Direction-of-Arrival Destimation for Multiple Sources Based on the Reconstruction of the Coprime Array[J]. Acta Electronica Sinica, 2018, 46(12): 2923-2929. DOI: 10.3969/j.issn.0372-2112.2018.12.014.
Direction-of-Arrival Destimation for Multiple Sources Based on the Reconstruction of the Coprime Array
Direction-of-arrival (DOA) estimation is a research hotspot in wireless location. To deal with the lack of the array freedom
this paper presents a coprime array with a high degree of freedom based on the reconstruction of virtual array
realized the super-resolution estimation of multi received angles. This algorithm first vectors the received signal covariance matrix to build the virtual structure model with coprime array
and then
to fit out the lack virtual array response
this paper reconstruct the virtual array
finally
the spatial smoothing is used to realize the super resolution angle estimation. The complexity of the algorithm and the degree of freedom of the array are analyzed in theory detailedly. The simulation results show that the proposed method has a higher array degree of freedom than that of continuous spatial smoothing detection algorithm and the iterative interpolation algorithm under the condition of a same physical element
compared to the iterative interpolation algorithm
the performance of the algorithm is improved greatly with a slightly increased in complexity.