A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed. In the proposed scheme, the sorted QR de- composition is applied on t...A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed. In the proposed scheme, the sorted QR de- composition is applied on the lattice-reduced equivalent channel to obtain the tree structure. With the aid of the boundary control, the stack algorithm searches a small part of the whole search tree to generate a handful of candidate lists in the reduced lattice. The proposed soft-output algorithm achieves near-optimal perfor- mance in a coded MIMO system and the associated computational complexity is substantially lower than that of previously proposed methods.展开更多
针对航空发动机的突发故障,提出了一种基于多状态混合高斯隐马尔科夫模型(mixture of Gaussian-hidden Markov model,简称MOG-HMM)和Viterbi算法相结合的预测方法。首先,根据航空发动机突发故障的历史监测数据建立多状态MOG-HMM模型,确...针对航空发动机的突发故障,提出了一种基于多状态混合高斯隐马尔科夫模型(mixture of Gaussian-hidden Markov model,简称MOG-HMM)和Viterbi算法相结合的预测方法。首先,根据航空发动机突发故障的历史监测数据建立多状态MOG-HMM模型,确定状态数、状态转移矩阵、观察值概率分布以及最终的突发故障状态;然后,对新采集的观测数据,通过Viterbi算法解码出该观测数据对应的当前状态;最后,计算该状态到达突发故障状态的时间间隔,从而可以对突发故障进行预测。仿真和实验结果表明,该方法能够实现对突发故障的预测,并且符合标准预测指标的要求。展开更多
LTE(long term evolution,长期演进)系统中采用了咬尾卷积码和Turbo码来实现前向纠错,Viterbi译码是卷积码的一种杰出的译码算法,它是一种最大似然译码方法。本文基于LTE系统中的咬尾卷积码,详细分析了几种较成熟的Viterbi译码算法,并...LTE(long term evolution,长期演进)系统中采用了咬尾卷积码和Turbo码来实现前向纠错,Viterbi译码是卷积码的一种杰出的译码算法,它是一种最大似然译码方法。本文基于LTE系统中的咬尾卷积码,详细分析了几种较成熟的Viterbi译码算法,并综合现有算法,提出了一种改进算法,减小了译码计算的复杂度。仿真结果表明,改进算法在降低译码计算复杂度的同时还降低了译码误比特率,因此非常适合LTE系统的译码要求。展开更多
文摘A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed. In the proposed scheme, the sorted QR de- composition is applied on the lattice-reduced equivalent channel to obtain the tree structure. With the aid of the boundary control, the stack algorithm searches a small part of the whole search tree to generate a handful of candidate lists in the reduced lattice. The proposed soft-output algorithm achieves near-optimal perfor- mance in a coded MIMO system and the associated computational complexity is substantially lower than that of previously proposed methods.
文摘针对航空发动机的突发故障,提出了一种基于多状态混合高斯隐马尔科夫模型(mixture of Gaussian-hidden Markov model,简称MOG-HMM)和Viterbi算法相结合的预测方法。首先,根据航空发动机突发故障的历史监测数据建立多状态MOG-HMM模型,确定状态数、状态转移矩阵、观察值概率分布以及最终的突发故障状态;然后,对新采集的观测数据,通过Viterbi算法解码出该观测数据对应的当前状态;最后,计算该状态到达突发故障状态的时间间隔,从而可以对突发故障进行预测。仿真和实验结果表明,该方法能够实现对突发故障的预测,并且符合标准预测指标的要求。
文摘LTE(long term evolution,长期演进)系统中采用了咬尾卷积码和Turbo码来实现前向纠错,Viterbi译码是卷积码的一种杰出的译码算法,它是一种最大似然译码方法。本文基于LTE系统中的咬尾卷积码,详细分析了几种较成熟的Viterbi译码算法,并综合现有算法,提出了一种改进算法,减小了译码计算的复杂度。仿真结果表明,改进算法在降低译码计算复杂度的同时还降低了译码误比特率,因此非常适合LTE系统的译码要求。