ID 原文 译文
10124 应用实例表明,基于星载软件在环的GNC快速原型仿真系统仿真数据与GNC半物理仿真系统仿真数据高度一致,证实了仿真系统设计的有效性; ‭ Application examples show that based on the spaceborne software in rapid prototype GNC simulation system of simulation data and the GNC system simulation data is highly consistent, semi-physical simulation confirm the validity of the simulation system design;
10125 同时基于该仿真系统可以实现GNC系统软件、算法和单机产品的并行开发,缩短系统研制周期。 ‭At the same time, based on the simulation system can realize the GNC system software, the algorithm and the single product concurrent development, shorten the system development cycle.
10126 针对四元数无味卡尔曼滤波计算量较大等问题,提出一种改进的四元数无味卡尔曼滤波算法。 For quaternions unscented kalman filtering problem such as large amount of calculation, an improved quaternions unscented kalman filter algorithm.
10127 通过四元数与修正罗德里格斯参数的线性变换,避免了四元数无味卡尔曼滤波中,四元数与误差罗德里格斯参数频繁切换所带来的计算量增大的问题,从而降低了算法的计算量。 Through the quaternion and the modified rodrigues parameters of linear transformation and avoid the quaternions unscented kalman filter, the quaternion and the error brought by the frequent switching rodrigues parameters increases the amount of calculation, thus reducing the amount of calculation of the algorithm.
10128 推导了修正罗德里格斯参数出现奇异值时,改进四元数无味卡尔曼滤波的奇异值避免的转换公式。 ‭There was a singular value modified rodrigues parameters was deduced, improvement of quaternions unscented kalman filtering singular value to avoid the conversion formulas.
10129 在捷联惯性导航系统/全球卫星定位系统(strapdown inertial navigation system/global positioning system,SINS/GPS)直接式位置松组合仿真试验中,对比了乘性扩展卡尔曼滤波、四元数无味卡尔曼滤波和改进四元数无味卡尔曼滤波的估计性能,证明了所提出算法的有效性。 ‭In the strapdown inertial navigation system/global positioning system (strapdown inertial navigation system/global positioning system, SINS/GPS) direct position loose combination simulation experiment, compared the multiplicative extended kalman filtering, quaternions unscented kalman filter and the improvement of quaternions unscented kalman filter estimation performance, proved the effectiveness of the proposed algorithm. ‭
10130 针对归零Turbo码的识别问题,提出一种有效的识别方法。 For zero Turbo codes to identify problems, and puts forward an effective identification method.
10131 该方法首先根据归零Turbo码的特殊结构,利用遍历矩阵列数的方式,寻找相关列均值最大值的位置,识别归零Turbo码长和起始点; This method firstly according to the special structure of Turbo codes, zero by traversing the matrix columns, search for related, the position of the maximum average recognition zero Turbo code length and the starting point;
10132 其次,构建归零Turbo码的交织器识别模型,利用分层比对的方法得到交织置换关系,完成对交织器参数的识别。 Second, build zero intertwined recognition model of Turbo code by using the method of layered than get mixed displacement relationship, complete the intertwined parameter identification.
10133 仿真实验表明,该方法在0.02的误码率条件下识别率仍能达到80%以上,验证了所提方法的有效性和鲁棒性。 Simulation experiments show that the method in 0.02 under the condition of the bit error rate of recognition rate can reach more than 80%, still to verify the effectiveness and robustness of the proposed method.