ID 原文 译文
9634 为解决无码条件下的导航卫星识别问题,提出了一种基于多普勒频移特征的导航星识别方法,研究了基于三分法快速搜索优化平移量的匹配算法,并采用全局匹配、局部剔除的策略来提高卫星识别的全局可信度。 To solve the problem of the identification of navigation satellite under no conditions, is put forward based on the doppler frequency shift characteristics of the navigation star recognition method, based on three points method is studied in a quick search optimization translation amount of matching algorithm, and USES the global matching, local weed out the strategies to improve the global reliability of the satellite identification.
9635 仿真结果表明,对于80ms的卫星中频数据,无码载波频率估计误差保持在7 Hz之内,并且正确估计的卫星数在9颗以上; The simulation results show that for 80 ms medium frequency data of satellite, no carrier frequency estimation error within 7 Hz, and correctly estimate the number of satellites in nine or more;
9636 在考虑先验参数不精准及测量误差的情况下,正确识别的卫星数大多为6颗及以上,满足定轨要求的最少卫星数目。 Considering prior parameters without accuracy and measurement error, the correct recognition of satellite number 6 and above, and mostly meet the minimum number of satellite orbit determination requirements.
9637 将高级加密标准(advanced encryption standard,AES)和通信纠错领域性能优的低密度奇偶校验码(low density parity check code,LDPC)相结合,考虑了多用户应用场景,设计了一种为多输入多输出-正交频分复用(multiple-input multiple-output-orthogonal frequency division multiplexing,MIMO-OFDM)系统所用的协同安全策略。 The advanced encryption standard (advanced encryption standard (AES) and communication error correction performance optimization in the field of low density parity check code (low density parity check code and LDPC), the combination of considering the multi-user application scenario, we design a multiple input multiple output and orthogonal frequency division multiplexing (multiple - input multiple output - orthogonal frequency division multiplexing, MIMO - OFDM) systems used in collaborative security policy.
9638 此方案采用了分组长度为256bit的6轮加密LDPC纠错密码,采用宽轨迹策略的分组密码,密钥由128bit AES密钥和LDPC校验矩阵组成。 ‭This scheme USES the packet length six games of 256 - bit encryption LDPC error correction code, adopt the strategy of wide track of block cipher, the key is composed of 128 - bit AES encryption key and LDPC check matrix.
9639 并且分析了LDPC纠错密码的在特定的离散余弦变换-MIMO-OFDM系统中的安全性能和纠错能力,通过仿真可知该策略不但保证多用户的传输性能,还具有一定的安全性能和纠错性能。 ‭And analyzed the LDPC error correction code in particular in the discrete cosine transform - MIMO - OFDM system security performance and error correction ability, through the simulation, the strategy not only ensure the transmission performance of multi-user, also has certain safety performance and the performance of error correction. ‭
9640 目前,无人机航路规划技术存在约束条件少,不能满足实际飞行需求,规划效率低等不足,文章主要针对上述问题提出改进措施。 At present, the technology of unmanned aerial vehicle (uav) route planning constraints, can not meet the demand of actual flight, planning and low efficiency, the paper mainly aimed at these problems puts forward improvement measures.
9641 首先,将航路约束条件进行分类,提出了基本约束、平台安全约束和链路载荷约束,并对约束条件建模,完善无人机航路约束模型。 First of all, categorizing route constraint conditions, puts forward the basic constraint, platform security constraints, and link load constraint, and the constraint modeling, perfect the unmanned aerial vehicle (uav) route constraint model.
9642 为了提高无人机航路规划效率,提出了网格概率地图法(grid probabilistic roadmap,GPRM),利用约束模型构建代价函数,实现无人机航路的多约束快速航路规划。 In order to improve the efficiency of unmanned aerial vehicle (uav) route planning, and puts forward the grid probability map method (grid probabilistic roadmap, GPRM), using the constraint model building cost function, realizes the unmanned aerial vehicle (uav) route constraint fast route planning.
9643 GPRM的实验仿真表明,GPRM规划效率相比较传统PRM有显著提升,同时规划结果更加符合实际任务需求,证明基于GPRM的无人机航路规划具有一定的工程应用价值。 GPRM experiment simulation show that the efficiency compared with traditional PRM GPRM planning have significantly increased, at the same time planning results more in line with the actual task requirements, the unmanned aerial vehicle (uav) route planning based on GPRM has certain engineering application value.