IEEE软件工程事务处理对定义明确的理论结果和对软件的构建、分析或管理有潜在影响的实证研究感兴趣。这些交易的范围从制定原则的机制到将这些原则应用到具体环境。具体的主题领域包括:a)开发和维护方法和模型,例如软件系统的规范、设计和实现的技术和原则,包括符号和过程模型;b)评估方法,例如软件测试和验证、可靠性模型、测试和诊断程序,用于错误控制的软件冗余和设计,以及过程和产品各个方面的测量和评估;c)软件项目管理,例如生产力因素、成本模型、进度和组织问题、标准;d)工具和环境,例如特定工具,集成工具环境,包括相关的体系结构、数据库、并行和分布式处理问题;e)系统问题,例如硬件-软件权衡;f)最新调查,提供对某一特定关注领域历史发展的综合和全面审查。 官网地址:http://dblp.uni-trier.de/db/journals/tse/

最新论文

We consider the problem of accurate channel estimation for OTFS based systems with few transmit/receive antennas, where additional sparsity due to large number of antennas is not a possibility. For such systems the sparsity of the effective delay-Doppler (DD) domain channel is adversely affected in the presence of channel path delay and Doppler shifts which are non-integer multiples of the delay and Doppler domain resolution. The sparsity is also adversely affected when practical transmit and receive pulses are used. In this paper we propose a Modified Maximum Likelihood Channel Estimation (M-MLE) method for OTFS based systems which exploits the fine delay and Doppler domain resolution of the OTFS modulated signal to decouple the joint estimation of the channel parameters (i.e., channel gain, delay and Doppler shift) of all channel paths into separate estimation of the channel parameters for each path. We further observe that with fine delay and Doppler domain resolution, the received DD domain signal along a particular channel path can be written as a product of a delay domain term and a Doppler domain term where the delay domain term is primarily dependent on the delay of this path and the Doppler domain term is primarily dependent on the Doppler shift of this path. This allows us to propose another method termed as the two-step method (TSE), where the joint two-dimensional estimation of the delay and Doppler shift of a particular path in the M-MLE method is further decoupled into two separate one-dimensional estimation for the delay and for the Doppler shift of that path. Simulations reveal that the proposed methods (M-MLE and TSE) achieve better channel estimation accuracy at lower complexity when compared to other known methods for accurate OTFS channel estimation.

0
0
下载
预览
Top