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Sphere decoding (SD) is an efficient algorithm for Multiple-input Multiple-output (MIMO) digital communications. It has been showed to achieve near Maximum Likelihood (ML) performance with low complexity. However, the complexity of conventional SD algorithm is high under the specific environment. The performance and the computation complexity of SD algorithm is highly dependent on the initial choice...
Sphere decoding(SD)is an efficient algorithm which has been proposed in Multiple input Multiple output (MIMO) digital communication. Sphere decoding algorithm is based on the rule of maximum likelihood decoding algorithm, But SD algorithm does not like ML algorithm to retrieve all of the lattice. However, SD in some environment complexity is very high. The complexity of the SD is controlled by radius...
Lenstra-Lenstra-Lovász (LLL) is an effective lattice reduction algorithm in multi-input-multi-output (MIMO) system. The usage of LLL lattice reduction can significantly improve the performance of zero-forcing and successive interference cancellation decoders in MIMO communications. But for conventional single channel transmission, when the data streams go through poor channel condition, it usually...
The sphere decoding (SD) algorithm based on Schnorr-Euchner (S-E) strategy can reduce the complexity for multiple-input multiple-output (MIMO) systems to find the maximum likelihood (ML) solution by updating the search radius whenever a new lattice point was found. In this paper, we propose an improved scheme to reduce the complexity of sphere decoding. In the new method, a factor was introduced for...
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