ID 原文 译文
51057 而采用联邦Kalman滤波完成对路标点的估计， and with the help of right punctuation federal Kalman filtering, estimates,
51058 并通过设计各子滤波器中粒子分布的调整方式改善了系统在动态重构过程的精度和稳定性。 and by designing particle distribution in each filter to adjust the way to improve the precision and stability of the system in dynamic reconfiguration process.
51059 最后，通过实际数据的仿真试验证明所提算法具有更好的实时性和滤波精度。 Finally, through the actual data of simulation experiment prove that the proposed algorithm has better real-time and accuracy.
51060 提出了一种在压缩感知多输入多输出(compressive sensing-multiple input multiple output，CS-MIMO)雷达中利用混沌非线性系统设计随机滤波器进而实现测量矩阵优化的方法。 Proposed a compressed perception of multiple input multiple output (compressive sensing - multiple input multiple output, CS - MIMO) radar using chaotic nonlinear random filter system design and realization method of the measurement matrix optimization.
51061 目前，大部分研究采用高斯随机矩阵作为测量矩阵， At present, most of the research by gauss random matrix as a measurement matrix,
51062 这类测量矩阵的局限性是，每次仿真实验产生的矩阵互不相同， the limitations of this type of measurement matrix are that every time the simulation of matrix are the same,
51063 雷达系统无法实现在线优化，且其对硬件要求高，实现困难。 radar system online optimization cannot be achieved, and its high requirements for hardware and implementation difficulties.
51064 在CS-MIMO雷达信号模型基础上构造稀疏基，提出了基于随机滤波器结构的测量矩阵设计方法，利用混沌序列构造随机滤波器系数，完成对雷达回波的压缩观测。 In CS - model is built based on the MIMO radar signal sparse matrix, put forward the measurement matrix design method based on random filter structure, tectonic chaotic sequence random filter coefficient, complete the compression of radar echo.
51065 同时以Gram矩阵逼近对角矩阵为准则对随机滤波等效测量矩阵进行优化，进一步提高雷达系统性能。 At the same time by the "gramm matrix approximation diagonal matrix of random filter equivalent measurement matrix is optimized, and further improve the performance of radar system.
51066 仿真结果表明所提出的基于混沌随机滤波器的CS-MIMO雷达测量矩阵设计与优化算法能够有效提高波达角(direction of arrival，DOA)估计精度。 Simulation results show that the proposed based on chaos random filter CS - design of MIMO radar measurement matrix and optimization algorithm can effectively increase the Angle of DOA (direction of concatenated, DOA) estimation precision.