用模拟退火法估计吉尔伯特模型参数

Tan-Hsu Tan, Wen-Whei Chang
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引用次数: 2

摘要

在数字移动无线电信道中遇到的错误不是独立的,而是表现出不同程度的统计依赖性。在许多移动应用中,Gilbert(1960)的有限状态马尔可夫链模型已被证明可以充分表征突发噪声二进制信道。提出了一种基于模拟退火算法的模型估计方法。参数从样本错误序列。实验结果表明,与梯度迭代法相比,模拟退火法识别精度更高,收敛速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Gilbert's model parameters using the simulated annealing method
Errors encountered in digital mobile radio channels are not independent but exhibit varying degrees of statistical dependencies. In many mobile applications, Gilbert's (1960) finite-state Markov chain model has been shown to adequately characterize the bursty-noise binary channels. An estimation method based on the simulated annealing algorithm is proposed for computing the model. Parameters from the sample error sequences. Experimental results indicate that the simulated annealing method yields more accurate identification at a faster convergence rate for comparison with the gradient iterative method.
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