ID 原文 译文
56328 与传统的基于接收信号强度(received signal strength, RSS)的室内Wi-Fi定位方法相比,信道状态信息(channel state information, CSI)包含了信号传输过程中更细粒度和更多样化的物理层信息(如信道中各个子载波的振幅和相位信息),故基于CSI的室内Wi-Fi定位方法通常具有更高的定位精度. Compared with the traditional received signal strength (RSS) based indoor Wi-Fi localization method,the CSI-based indoor Wi-Fi localization method usually achieves higher localization accuracy, due to the channel state information (CSI) includes finer-grained and more diverse physical-layer information like the amplitude and the phase information of each subcarrier in the channel during the signal transmission.
56329 在利用CSI进行定位时,发送端采用正交频分复用(orthogonal frequency division multiplexing,OFDM)技术在多个正交子载波上并行发送数据并在接收端进行解调,但由于异步效应(如载波频率偏差(carrier frequency offset, CFO)、采样时钟频率偏差(sampling frequency offset, SFO)和符号定时偏差(symbol timing offset, STO))的存在,接收端子载波的正交性难以得到保证,于是,基于CSI的室内Wi-Fi定位方法的性能会因为符号间干扰(inter symbol interference, ISI)和载波间干扰(inter carrier interference, ICI)的影响而下降. When using CSI for the localization, the transmitter uses the orthogonal frequency division multiplexing (OFDM) technology to transmit data in parallel on multiple orthogonal subcarriers; meanwhile, the demodulation at the receiver is conducted. However, due to the existence of the asynchronous effect like the carrier frequency offset (CFO), sampling frequency offset (SFO), and symbol timing offset (STO), the orthogonality of subcarriers at the receiver is difficult to be guaranteed, and thereby the performance of the CSI based indoor Wi-Fi localization method is degraded by the effects of the inter-symbol interference (ISI) and inter-carrier interference (ICI).
56330 对此,本文从频域的角度推导了不同异步效应下的CSI定位误差界以评估基于CSI的室内Wi-Fi定位性能 In response to this compelling problem, this paper derives out the CSI localization error bound under different asynchronous effects from the perspective of the frequency domain to evaluate the CSI based indoor Wi-Fi localization performance.
56331 近年来,随着科学技术的快速发展和硬件设备的不断迭代,人工智能在各种领域(如安防监控、医疗辅助、健康诊断、智能推荐、遥感监测、目标定位等)都得到了广泛的应用. With the rapid developments in science and technology and the continuous iteration of hardwareequipment, artificial intelligence is being widely used in various fields (such as security monitoring, medical as?sistance, health diagnosis, intelligent recommendation, remote sensing monitoring, and target location).
56332 随着人们对智能处理任务的要求逐步提高,人工智能算法所需要理解的语义信息层次和输出数据精准度要求也步步攀升. Withthe gradual expansion of user requirements for intelligent processing tasks, semantic understanding levels andaccuracy requirements of intelligent algorithms are also gradually increasing. As such, the pixel-level task ofsemantic understanding, which requires much higher accuracy than image-level understanding, is attracting in?creasing attention.
56333 因此,像素级语义理解任务也因其精准度要求远高于图像级理解而越来越受到重视. Compared to image-level understanding, in addition to the large amount and high precisionof pixel-by-pixel output, the internal challenges in pixel-level semantic understanding merit greater attention andresearch.
56334 与图像级理解相比,像素级语义理解具有输出数据量大、逐像素输出精度高的优点,相应地其难度也更大,内部成因更值得关注与研究. From the information measurement perspective, and given the unique attributes of pixel-level semanticunderstanding, in this paper, we present the definition and optimization goal of pixel-level semantic understand?ing, and derive pixel-level semantic classification and pixel-level semantic regression from the original definitionbased on the characteristics of actual tasks.
56335 为此本文从信息度量的角度出发,结合像素级语义理解任务的特有属性,给出了像素级语义理解任务的定义与优化目标,进一步依据实际任务的特性从初始定义衍生出像素级语义分类和像素级语义回归两类任务; We then discuss the degradation and evolution of optimizationobjectives in these two subcategories, respectively.
56336 随后分别讨论了在这两类任务中优化目标的退化和演变,并通过详尽的调研总结了常见像素级语义理解任务的发展现状; Based on a detailed investigation, we summarize the develop?ment and current status of typical tasks in pixel-level semantic understanding.
56337 紧接着探究了当前像素级语义理解的难点和未来发展方向,针对亟待解决的问题给出了深入的分析思考以及可行的解决方案; We consider the difficulties andfuture development direction of the current pixel-level semantic understanding, perform an in-depth analysis, andsuggest feasible solutions to problems that require urgent solutions.