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Soft-output stack algorithm with lattice-reduction for MIMO detection
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作者 Yuan Yang Hailin Zhang Junfeng Hue 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第2期197-203,共7页
A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed. In the proposed scheme, the sorted QR de- composition is applied on t... A computationally efficient soft-output detector with lattice-reduction (LR) for the multiple-input multiple-output (MIMO) systems is proposed. In the proposed scheme, the sorted QR de- composition is applied on the lattice-reduced equivalent channel to obtain the tree structure. With the aid of the boundary control, the stack algorithm searches a small part of the whole search tree to generate a handful of candidate lists in the reduced lattice. The proposed soft-output algorithm achieves near-optimal perfor- mance in a coded MIMO system and the associated computational complexity is substantially lower than that of previously proposed methods. 展开更多
关键词 multiple-input multiple-output (MIMO) soft-output de- tection lattice-reduction stack algorithm.
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3-UPS/S并联平台结构设计与运动学分析 被引量:5
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作者 杨冬 李铁军 +1 位作者 刘今越 刘智光 《机械设计》 CSCD 北大核心 2014年第3期47-51,共5页
针对建筑板材安装机器人工作流程及载荷要求,研制开发了用于机器人姿态调整的3-UPS/S结构并联平台。根据板材安装的特定环境,提出了基于倾角和激光测距传感信息反馈的机器人位姿检测方法。建立了机器人并联平台运动分析的数学模型,推导... 针对建筑板材安装机器人工作流程及载荷要求,研制开发了用于机器人姿态调整的3-UPS/S结构并联平台。根据板材安装的特定环境,提出了基于倾角和激光测距传感信息反馈的机器人位姿检测方法。建立了机器人并联平台运动分析的数学模型,推导了其姿态运动学逆解方程,并通过ADAMS仿真验证了方程的正确性。试验结果表明,该并联平台的结构设计合理,能够实现大质量、大尺寸建筑板材的自动化安装。 展开更多
关键词 3-UPS S结构 并联平台 姿态检测 运动学逆解
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Robust detector for range-spread targets in non-Gaussian background 被引量:5
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作者 Tao Jian You He +2 位作者 Feng Su Dianfa Ping Xiaodong Huang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第3期355-363,共9页
Based on the target scatterer density, the range-spread target detection of high-resolution radar is addressed in additive non-Gaussian clutter, which is modeled as a spherically invariant random vector. Firstly, for ... Based on the target scatterer density, the range-spread target detection of high-resolution radar is addressed in additive non-Gaussian clutter, which is modeled as a spherically invariant random vector. Firstly, for sparse scatterer density, the detection of target scatterer in each range cell is derived, and then an M/K detector is proposed to detect the whole range-spread target. Se- condly, an integrating detector is devised to detect a range-spread target with dense scatterer density. Finally, to make the best of the advantages of M/K detector and integrating detector, a robust detector based on scatterer density (DBSD) is designed, which can reduce the probable collapsing loss or quantization error ef- fectively. Moreover, the density decision factor of DBSD is also determined. The formula of the false alarm probability is derived for DBSD. It is proved that the DBSD ensures a constant false alarm rate property. Furthermore, the computational results indi- cate that the DBSD is robust to different clutter one-lag correlations and target scatterer densities. It is also shown that the DBSD out- performs the existing scatterer-density-dependent detector. 展开更多
关键词 non-Gaussian clutter range-spread target robust de- tection quantization error collapsing loss target scatterer.
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