Compressive Sensing Multiuser-Detection for Code-Multiplex-Systems

有关本项目的总体目标和特点的摘要，请参阅原始项目建议书，第100页。5.在两年的赠款项目期间，计划三年的大部分工作已经完成。具体而言，AP1已被完全处理，AP2已被集中处理，应用贪婪压缩感知（CS）算法，偏离了最初的工作计划。在应用CS算法中的这种焦点变化主要是由已知贪婪算法用于数据检测的目的的较低复杂性和较高适应性所激发的。关于这一问题的详细讨论见中期报告。由于批准的项目期限仅为两年，原始的AP3尚未开始工作。然而，该项目已经取得的成果表明，最初的AP3重点必须适应数据和活动检测的软决策。仅通过还处理活动可靠性信息，将启用有效的迭代检测方案。因此，AP3将被根据项目观察和新开发的研究问题的新工作包所取代。最后，AP4已经得到了一般性的处理，但将在第二个项目阶段进行扩展，以便为系统尺寸确定提供已开发算法和结果的系统比较。除了原始工作计划之外，还增加了一个新的AP 5来处理信道估计。以前的结果和最近的理论见解CS文献表明，信道，数据和活动的联合估计，原则上是可能的。因此，AP5的重点将是开发合适的估计算法。在项目的两年期间，已发表了五篇出版物，其中一篇是期刊文章。此外，三个学生论文已经完成，主题压缩传感已被列入讲座。

For a summary of the general objectives and characteristics of this project, please be referred to the original project proposal, pp. 5.During the granted project period of two years considerable parts of the work planned for a three year period have been finished. Specifically, AP1 has been fully treated and AP2 has been intensively treated applying Greedy Compressive Sensing (CS) algorithms in deviation of the original work plan. This change of focus in the applied CS algorithms has been mainly motivated by a lower complexity and higher adaptability of known Greedy algorithms for the purpose of data detection. A detailed discussion of this issue can be found in the intermediate report. The original AP3 has not been work on due to the granted project duration of two years only. However, the already achieved results of the project indicate that the original AP3 focus has to be adapted towards soft decisions for data as well as activity detection. Only by also processing activity reliability information effective iterative detection schemes will be enabled. As a consequence, AP3 will be replaced by a new working package according to the project observations and newly developed research questions. Finally, AP4 has been generally treated, but will be extended during the second project phase to provide a systematic comparison of developed algorithms and results for system dimensioning. In addition to the original work plan a new AP5 has been added to treat channel estimation. Previous results and recent theoretic insights from CS literature indicate that a joint estimation of channel, data and activity is principally possible. Therefore, the focus of AP5 will be on development of suitable estimation algorithms.During the two years of the project five publications, of which one is a journal article, have been published. Furthermore, three student theses have been finished and the topic Compressed Sensing has been included in lectures.