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- W4311682425 abstract "In literature many authors reported that in multiple input multiple output (MIMO) detection methods sphere-decoding (SD) is one of the efficient detection technique. In general, Euclidean norm is used for traversing a tree in sphere detection. By using the proposed method circuit complexity can be reduced with negligible performance loss. This is due to the reduction in the number of nodes visited in the critical path of the search tree. This paper presents the performance of complexity of 4x4 MIMO with 16-QAM modulation. The performance is compared with maximum likelihood detection (MLD) and L <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> norm with the help of MATLAB simulation results. It was observed that the complexity is reduced when mean of real multiplications and mean of real additions are calculated. Proposed L∞ sphere detection shows better performance as the number of transmitting antennas increased. The tree pruning behavior of proposed SD is aggressive than the previously reported ones. Proposed L∞ sphere detector follows new approach of radius selection for reducing the computational complexity as compared to the L <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> sphere de-coding algorithm and with the ideal ML decoder. It was also observed that using the infinity-norm reduces the hardware complexity of sphere detector considerably at only a minor performance loss." @default.
- W4311682425 created "2022-12-28" @default.
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- W4311682425 date "2022-11-09" @default.
- W4311682425 modified "2023-09-26" @default.
- W4311682425 title "Low Complexity And High Performance Sphere Detection Technique For MIMO Communication Systems" @default.
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- W4311682425 doi "https://doi.org/10.1109/cce56709.2022.9975881" @default.
- W4311682425 hasPublicationYear "2022" @default.
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