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- W2882095464 abstract "Multiple-input multiple-output (MIMO) techniques are significantly advanced in contemporary high-rate wireless communications. The computational complexity and bit-error-rate (BER) performance are main issues in MIMO systems. An algorithm is proposed based on a traditional K-Best algorithm, coupling with the fast QR decomposition algorithm with an optimal detection order for the channel decomposition, the Schnorr–Euchner strategy for solving the zero floating-point and sorting all the branches’ partial Euclidean distance, the sphere decoding algorithm for reducing the search space. The improved K-Best algorithm proposed in this paper has the following characteristics: (i) The searching space for the closest point to a region is smaller compared to that of the traditional K-Best algorithm in each dimension; (ii) it can eliminate the survival candidates at early stages, and (iii) it obtains better performance in the BER and the computational complexity." @default.
- W2882095464 created "2018-07-19" @default.
- W2882095464 creator A5082047323 @default.
- W2882095464 date "2018-07-12" @default.
- W2882095464 modified "2023-09-25" @default.
- W2882095464 title "On an Improved K-Best Algorithm with High Performance and Low Complexity for MIMO Systems" @default.
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- W2882095464 doi "https://doi.org/10.1007/978-981-10-8971-8_28" @default.
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