Abstract
This paper addresses the issue of joint direction-of-arrival (DOA) and range estimation of near-field signal under impulsive noise environments modeled by α-stable distribution. Since α-stable distribution does not have finite second-order statistics, the DOA and range estimation problem under impulsive noise environment can be decoupled in the fractional lower order correlation domain. Then, the two dimensional positioning problem is transformed into two one dimensional parameter estimation problems which can be solved by the sparse reconstruction of the fractional lower order correlation vector. The computer simulation results demonstrate that the proposed algorithm outperform the second order correlation-based methods.
This work was supported in part by the National Natural Science Foundation of China under Grants 61301228, 61371091 and the Fundamental Research Funds for the Central Universities under Grant 3132016331 and 3132016318.
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Li, S., Lin, B., Li, B., He, R. (2017). Near-Field Localization Algorithm Based on Sparse Reconstruction of the Fractional Lower Order Correlation Vector. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_79
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DOI: https://doi.org/10.1007/978-3-319-60033-8_79
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