Sparse code multiple access (SCMA) is a research hotspot in recent years. In this paper, we proposed a joint SCMA detection and Turbo decoding (JDD) scheme for the SCMA system. The proposed method integrates the messa...
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ISBN:
(纸本)9781509024834
Sparse code multiple access (SCMA) is a research hotspot in recent years. In this paper, we proposed a joint SCMA detection and Turbo decoding (JDD) scheme for the SCMA system. The proposed method integrates the message passing between SCMA detector and turbo decoder into the factor graph of the SCMA detector to construct a joint factor graph. Simulation results show the JDD scheme has 1.6 dB performance gain compared to the iterative detection and decoding (IDD) scheme. Moreover, it has only 0.2 dB performance loss compared to the single user QPSK system. To further reduce the computationalcomplexity of the JDD scheme, we implement the JDD scheme in the logarithm domain (LOG-JDD) with the same performance compared with the IDD scheme. A technology that can improve the convergence is used to improve the bit error rate (BER) performance. Simulation results show that a suitable damping factor can obtain about ldB performance gain compared with the IDD scheme.
An interference alignment(IA) algorithm is proposed in TD cognitive cellular neworks with multiple primary users and secondary *** of all,this paper considers the feasibility conditions of interference alignment in th...
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An interference alignment(IA) algorithm is proposed in TD cognitive cellular neworks with multiple primary users and secondary *** of all,this paper considers the feasibility conditions of interference alignment in the MIMO cognitive networks,an interference alignment(IA) algorithm based on FDPM subspace tracking is proposed,without assuming a priori knowledge of interference covariance *** algorithm is an extension of the IST-IA algorithm for cellular systems to MIMO cognitive systems and multi-primary-users,the interference of secondary users is *** the transmitters and receivers alternately design the precoding and postprocessing matrices through a training period which exploits the complex FDPM-based subspace *** results and the theoretical calculation show that the proposed algorithm can achieve a high sum rate performance while requiring low computational complexity.
This paper introduces an algorithm with a very low computational complexity, which enables to detect rotor asymmetries in induction motors. The proposed approach is based on calculating the negative sequence component...
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This paper introduces an algorithm with a very low computational complexity, which enables to detect rotor asymmetries in induction motors. The proposed approach is based on calculating the negative sequence component of the startup stator currents, and enables to visualize the characteristic pattern of the lower sideband component (LSH) during the startup transient. Unlike previous published approaches, the proposed method does not need to use either frequency domain transforms nor time-frequency transforms or complex mathematic functions. Thus it can be implemented as an embedded algorithm in preexisting electronic devices or in low cost devices such as DSPs or tablets. In this paper the method is theoretically justified and validated through simulation and laboratory tests.
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