基于隐马尔可夫模型的多频率线跟踪算法的若干改进
SOME IMPROVEMENTS IN THE HMM BASED MULTIPLE FREQUENCY LINE TRACKING ALGORITHMS
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摘要: 提出了基于隐马尔可夫模型(HMM)的多频率线跟踪算法的若干改进措施,着重于减少计算复杂性、提高算法的实时性,其中包括减少信号幅值实时估计的计算量和减少双频率线跟踪算法的计算量.计算机仿真表明了这些算法的有效性.Abstract: In this paper some effective measures to improve the hidden Markov model based multiple frequency line tracking algorithms are proposed. Aiming at the practical utility, these measures include a simple way to estimate the amplitude of the sinusoidal signal and a way to reduce the computational burden of the tracking algorithms. All of these are supported by simulations.