Decoding of TCM in the Presence of Random Parameters Via the EM Algorithm

通过 EM 算法在存在随机参数的情况下解码 TCM

• 批准号: 9016329
• 负责人: Costas Georghiades
• 金额: $ 9.97万
• 依托单位: Texas A&M Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-05-01 至 1993-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9016329&HistoricalAwards=false
• 关键词: Decoding; TCM; Presence; Random; Parameters

The expectation maximization (EM) algorithm is an iterative algorithm which can be used to obtain maximum-likelihood (ML) estimates in situations where a direct attack on the problem fails. In this research the PI will study the application of the EM algorithm to the problem of optimal decoding of trellis coded modulation signals in the presence of white Gaussian noise and random parameters. Specifically, the work will focus on two channels: the random phase channel and the random timing error channel. For each of these channels, the optimum receiver processing will be described, as well as its performance using existing trellis codes; further the implications of the optimal processing on the coding problem will be addressed.

期望最大化（EM）算法是一种迭代算法，可用于在直接攻击问题失败的情况下获得最大似然估计。在本研究中，PI将研究EM算法在存在高斯白噪声和随机参数的栅格编码调制信号的最优解码问题中的应用。具体来说，工作将集中在两个通道：随机相位通道和随机时序误差通道。对于这些信道中的每一个，将描述最佳的接收器处理，以及使用现有的栅格代码的性能；此外，最优处理对编码问题的影响将被解决。