Sphere decoding algorithm
Web21. mar 2005 · Abstract: Sphere decoding has been suggested by a number of authors as an efficient algorithm to solve various detection problems in digital communications. In … WebIn this paper, a practical sphere-Decoding algorithm is proposed. It utilizes a simple and effective way to set the initial radius which plays a decisive role in determining the …
Sphere decoding algorithm
Did you know?
Web19. jún 2015 · The performance of the original successive cancellation decoder of short-length polar codes is inferior to that of the maximum-likelihood decoder. Existing sphere decoding algorithms of polar codes have a high computational complexity even for short lengths. This is because, when exploring the tree defined by the generator matrix of the … Web30. aug 2006 · A Sphere Decoding Algorithm for MIMO Channels Abstract: Multi-input multi-output (MIMO) transmission has become a popular technique to increase spectral efficiency. Meanwhile, the design of cost-effective receivers for MIMO channels remains a challenging task.
WebAlgorithms This block implements the algorithm, inputs, and outputs described on the Sphere Decoder System object reference page. The object properties correspond to the block parameters. Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. Version History Introduced in R2013b Blocks OSTBC Encoder … Web27. jún 2024 · In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the decoding hypersphere is learned by a deep neural network (DNN). The performance achieved by the proposed algorithm is very close to the optimal maximum likelihood decoding (MLD) over a wide range of signal-to-noise ratios (SNRs), …
Web15. feb 2024 · We propose a deep spread multiplexing (DSM) scheme using a DNN-based encoder and decoder and we investigate training procedures for a DNN-based encoder and decoder system. Multiplexing for multiple orthogonal resources is designed with an autoencoder structure, which originates from the deep learning technique. Furthermore, … Web29. apr 2024 · In a sense, the term “sphere decoding” is a misnomer as no “decoding” actually takes place. Decoding implies that error encoding has been applied to the source information bits, but this is not a requirement for the sphere decoder. As such, some authors have preferred the term “sphere detection”.
WebAlthough the sphere decoder (SD) is a powerful detector for multiple-input multiple-output (MIMO) systems, it has become computationally prohibitive in massive MIMO systems, where a large number of antennas are employed. ... this challenge, we propose fast deep learning (DL)-aided SD (FDL-SD) and fast DL-aided K-best SD (KSD, FDL-KSD ...
Web4) Sphere Decoding: In 1985, U. Fincke and M. Phost proposed an algorithm named Fincke-Phost algorithm [6] (or SD algorithm) which offers a large reduction in computational complexity for the class of computationally-hard combinato-rial problems, for instance, the aforementioned ML detection problem. SD algorithm used for resolving MIMO channel was ryan reynolds daughter inezWebTraductions en contexte de "decoding search" en anglais-français avec Reverso Context : A time-synchronous speech recognition pass is performed using a decoding search to determine a recognition output corresponding to the speech input. is ebt same as wicWeb1. jan 2013 · It is simpler than the sphere decoder (depth-first) because in the K Best the number of calculations is fixed for any received data vector which approximately equals k × N × 2M, where 2M is the... ryan reynolds deadpool signatureWeb20. okt 2004 · Abstract: Sphere decoding (SD) allows the high-dimensional MIMO maximum likelihood detection problem to be solved with significantly lower complexity than other methods. The SD algorithm has, however, mostly only been analyzed with DSP implementations in mind. We show that VLSI implementations call for new performance … ryan reynolds data companyWeb18. jan 2024 · Sphere decoding algorithm can be divided into breadth-first algorithm and depth-first algorithm. The performance of breadth-first algorithm [ 8, 9] is slightly less, but … is ebt monthlyWeb1. feb 2014 · 1. Introduction. Maximum likelihood (ML) decoding of multiple-input multiple-output (MIMO) codes over Gaussian channels reduces to the integer least squares problem which is NP-hard [1].Sphere decoding (SD) algorithms find the nearest lattice point to the noisy received vector, if it exists within the search radius, without searching all lattice … ryan reynolds deadpool wallpaperWeb27. jún 2024 · Deep Learning-Based Sphere Decoding. Abstract: In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the … is ebt same as food stamps