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- W2024697029 abstract "Conventionally, code acquisition with antenna array employs a correlator bank and the serial-search technique. Due to the inherent properties of correlators and serial search, mean acquisition time of the correlator-based approach is large, especially in strong interference environments. Recently, an adaptive-filtering approach has been applied to code acquisition. This method simultaneously performs beamforming and code-delay estimation with a spatial and a temporal filter. Its performance is significantly better than that of the correlator-based approach. However, its computational complexity will be high when the code-delay uncertainty is large. In this paper, we propose a low-complexity adaptive-filtering scheme to solve the problem. Incorporating a serial-search technique, we are able to significantly reduce the size of the temporal filter, so does the computational complexity. We also analyze the proposed algorithm and derive closed-form expressions for optimum solutions, mean-squared error, and mean acquisition time. Simulations show that while the proposed system somewhat compromises the performance, the computational complexity is much lower that of the original adaptive-filtering approach." @default.
- W2024697029 created "2016-06-24" @default.
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- W2024697029 date "2008-05-01" @default.
- W2024697029 modified "2023-09-27" @default.
- W2024697029 title "A low-complexity adaptive antenna array code acquisition" @default.
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- W2024697029 doi "https://doi.org/10.1016/j.sigpro.2007.11.008" @default.
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