On the Complexity of Sphere Decoding
نویسندگان
چکیده
Recently, sphere detection has emerged as a powerful means of finding the maximum likelihood solution to the detection problem for multiple-antenna (MIMO) systems. In this paper, we analyze the performance and computational complexity of different sphere detectors and compare it with that of already known MIMO receiver techniques, in uncoded as well as coded transmission1. We propose a number of techniques that allow for reducing the complexity of sphere detection – some at the expense of bit error performance. Our results confirm that for uncoded transmission and low target BERs, sphere detectors outperform all other known receiver techniques with only minor additional complexity. For coded transmission, the complexity of sphere detection essentially scales with the number of candidates, motivating for further research to find techniques that provide good soft outputs with very low numbers of candidates.
منابع مشابه
Search Based Weighted Multi-Bit Flipping Algorithm for High-Performance Low-Complexity Decoding of LDPC Codes
In this paper, two new hybrid algorithms are proposed for decoding Low Density Parity Check (LDPC) codes. Original version of the proposed algorithms named Search Based Weighted Multi Bit Flipping (SWMBF). The main idea of these algorithms is flipping variable multi bits in each iteration, change in which leads to the syndrome vector with least hamming weight. To achieve this, the proposed algo...
متن کاملSearch Based Weighted Multi-Bit Flipping Algorithm for High-Performance Low-Complexity Decoding of LDPC Codes
In this paper, two new hybrid algorithms are proposed for decoding Low Density Parity Check (LDPC) codes. Original version of the proposed algorithms named Search Based Weighted Multi Bit Flipping (SWMBF). The main idea of these algorithms is flipping variable multi bits in each iteration, change in which leads to the syndrome vector with least hamming weight. To achieve this, the proposed algo...
متن کاملA 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 کاملEfficient decoding algorithm using triangularity of $\mbf{R}$ matrix of QR-decomposition
An efficient decoding algorithm named ‘divided decoder’ is proposed in this paper. Divided decoding can be combined with any decoder using QR-decomposition and offers different pairs of performance and complexity. Divided decoding provides various combinations of two or more different searching algorithms. Hence it makes flexibility in error rate and complexity for the algorithms using it. We c...
متن کاملThe Sphere Decoding Algorithm applied to Space-Time Block Codes
The use of digital wireless communication systems has become more and more common during recent years. A multiple-input-multiple-output (MIMO) system using Space-Time Coding techniques can be implemented to enhance the capacity of a wireless link. The optimal decoder is based on the maximum likelihood principle. But as the number of the antennas in the system and the data rates increase, the ma...
متن کاملImproved Maximum Likelihood detection through sphere decoding combined with box optimization
Sphere Decoding is a popular Maximum Likelihood algorithm that can be used to detect signals coming from multiple–input, multiple–output digital communication systems. It is well known that the complexity required to detect each signal with the Sphere Decoding algorithm may become unacceptable, especially for low signal–to–noise ratios. In this paper, we describe an auxiliary technique that dra...
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:
دوره شماره
صفحات -
تاریخ انتشار 2004