Efficient restarted radius bisection algorithm for sphere decoding with applications to multiple-in multiple-out systems
نویسندگان
چکیده
Integer least square problem is widely used in wireless communications, cryptography and some other fields. In this study, the authors propose a radius bisection algorithm with restart strategy to solve the ILS problem. Compared with the original sphere-decoding method, the algorithm can solve the ILS problem with higher speed and lower complexity. Also, users can specify a stop criterion to control the accuracy and complexity of the algorithm. Finally, some simulated experiments show the efficiency and effectiveness of the proposed algorithm.
منابع مشابه
A new reduced-complexity sphere decoder for multiple antenna systems
Sphere decoding for multiple antenna systems has been shown to achieve near-ML performance with low complexity. However, the achievement of such an excellent performance-complexity tradeoff is highly dependent on the initial choice of sphere radius. In this paper, we present a new sphere decoding algorithm which is even less computationally complex than the original sphere decoder. Moreover, th...
متن کاملA New Modified Viterbo-boutros Sphere Decoding Algorithm
Abstract: In this paper, a new sphere decoding algorithm is introduced which is a modification of the Viterbo-Boutros (VB) algorithm. In the proposed algorithm, the problem of the initial selection of the search sphere radius in the VB algorithm has been removed, and furthermore, the speed of the algorithm is increased. To examine the performance of the proposed algorithm, we employ it in detec...
متن کاملReduced Complexity Tree Search Algorithms for MIMO Decoding
Maximum Likelihood Decoding (MLD) is computationally complex technique for decoding received information in multiple input multiple output (MIMO) systems. Tree search algorithms such as sphere decoding (SD) and QR decomposition with M survivals (QRD-M) are used to reduce the complexity keeping the performance near ML. This paper presents two techniques for reducing the computational complexitie...
متن کاملDecoding by Sampling - Part II: Derandomization and Soft-Output Decoding
In this paper, a derandomized algorithm for sampling decoding is proposed to achieve near-optimal performance in lattice decoding. By setting a probability threshold to sample candidates, the whole sampling procedure becomes deterministic, which brings considerable performance improvement and complexity reduction over to the randomized sampling. Moreover, the upper bound on the sample size K, w...
متن کاملEfficient Implementation of MIMO Decoders
Multiple-Input Multiple-Output (MIMO) technology has emerged as a promising technology for achieving the high data rates of next generation wireless communication systems. MIMO systems improve either the bit-error rate (BER) performance by using spatial diversity or the date rate via spatial multiplexing. However, Maximum-likelihood (ML) detection for high order MIMO systems faces a major chall...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IET Communications
دوره 6 شماره
صفحات -
تاریخ انتشار 2012