ID 原文 译文
11874 算法性能和算例分析初步证明,FA-AHP直观、实用,计算结果稳定、精度高,在系统工程中具有推广应用价值。 ‭Algorithm performance and preliminary numerical simulation examples prove, FA - AHP intuitive, practical, the calculation results stability, high precision, thus it deserves popularization in the system engineering application value.
11875 由于水声环境时变特性,在水声信道中进行正交频分复用(orthogonal frequency division multiplexing,OFDM)信号传输,子载波间的正交性易受到破坏,从而产生载波间干扰,使得水声通信的误码率性能变差。 Because of time-varying underwater acoustic environment properties, in the underwater acoustic channel for orthogonal frequency division multiplexing (orthogonal frequency division multiplexing, OFDM) signal transmission, the subcarrier orthogonality between susceptible to damage, resulting in a intercarrier interference, the ber performance of underwater acoustic communication.
11876 针对这个问题,提出一种适用于水下时变信道的自适应OFDM均衡算法。 Aimed at this problem, this paper puts forward a kind of suitable for underwater time-varying channel adaptive OFDM equalization algorithm.
11877 该算法采用滑动窗口进行子块短时傅里叶变换获得接收信号的二维时频谱,进而对该二维时频谱进行自适应时-频域联合合并均衡。 This algorithm adopts sliding window for sub-block short-time Fourier transform for receiving signals of two dimensional spectrum, and then to the two-dimensional spectrum of joint time-frequency domain adaptive equilibrium merger.
11878 该自适应均衡算法中采用最小均方误差算法跟踪信道时变特性,并通过自适应判决反馈均衡更新二维时频谱的加权合并系数,提高了OFDM系统抗载波间干扰的性能。 The adaptive equalization algorithm adopts the minimum mean square error algorithm to track channel time-varying characteristics, and through the adaptive decision feedback equalization update 2 d spectrum weighted coefficient of consolidation, which improves the performance of OFDM system intercarrier interference.
11879 仿真分析表明,所提出的OFDM均衡算法可在时变信道下,有效降低水声通信的误码率。 The simulation analysis show that the proposed OFDM equalization algorithm can under time-varying channel, effectively reduce the error rate of underwater acoustic communication.
11880 针对常见车速测量方法存在测速准确性较低、自主性较差和灵活性不足等问题,建立了车载自主测速模型,将车辆的测速问题转化为序列图像的匹配问题; Common speed measuring method for low speed measuring accuracy, low autonomy and lack of flexibility on-board autonomous speed model is established, and the vehicle speed problem into a sequence of image matching problem;
11881 结合车辆运行状态的约束条件和序列图像的成像特点,依次从特征提取、相似性度量、搜索空间和搜索策略等4个方面对序列图像匹配方法进行分析,并设计序列图像匹配算法。 Combined with the constraint conditions that the vehicle running state and the imaging characteristics of image sequences, in turn from the feature extraction, similarity measure, four aspects such as the search space and the search strategy for sequence image matching method is analyzed, and design the sequence image matching algorithm.
11882 仿真结果表明,采用基于二值图像的匹配方法和采用平均绝对误差作为相似性度量函数,保证了较低的运算复杂度,提高了运算效率; ‭The simulation results show that the matching method based on binary image and using the mean absolute error as the similarity measure function, ensures low computation complexity, improve the operation efficiency;
11883 提出的图像匹配算法具有较高的匹配精度和匹配速度。 Image matching algorithm has high matching accuracy and speed.