Compressive Sensing Multiuser-Detection for Code-Multiplex-Systems

关于这个项目的总体目标和特点的总结，请参考最初的项目建议书第5页。在批准的两年项目期间，计划为期三年的大部分工作已经完成。具体来说，AP1被充分处理，AP2被集中处理，应用贪心压缩感知（CS）算法对原始工作计划的偏差进行处理。应用CS算法的这种焦点变化主要是由于已知的贪心算法在数据检测方面具有较低的复杂性和较高的适应性。关于这个问题的详细讨论可以在中间报告中找到。原来的AP3由于授予的项目期限只有两年，没有进行工作。然而，该项目已经取得的成果表明，最初的AP3重点必须适应于数据和活动检测的软决策。只有同时处理活动可靠性信息，才能实现有效的迭代检测方案。因此，AP3将根据项目观察和新发展的研究问题，替换为新的工作包。最后，对AP4进行了一般处理，但将在第二个项目阶段进行扩展，以对已开发的算法和系统维度结果进行系统比较。除了原来的工作计划外，还增加了一个新的AP5来处理信道估计。先前的结果和最近CS文献的理论见解表明，通道、数据和活动的联合估计基本上是可能的。因此，AP5的重点将放在开发合适的估计算法上。在项目的两年中，已经发表了五篇出版物，其中一篇是期刊文章。完成了3篇学生论文，并将压缩感知这一主题纳入讲座。

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.