| ID | 原文 | 译文 |
| 9464 | 飞行距离较远时,地球的曲率必须加以考虑,且再入过程中飞行器会受到各种过程约束。 | Flight distance is far, and must be taken into account the curvature of the earth, and in the process of reentry vehicle will be affected by various process constraints. |
| 9465 | 针对现有规划方法中在平面上进行A*算法推演的局限性,本文提出了一种基于椭球面A*算法的轨迹规划方法。 | In view of the existing planning methods in the plane in the A * algorithm deduction limitations, this paper proposes A trajectory planning method based on ellipsoid A * algorithm. |
| 9466 | 通过推导将过程约束引入A*算法搜索过程中,从而规划出合理的轨迹。 | Through to the introduction of the process constraint is derived in the process of the A * algorithm to search, so as to plan out A reasonable path. |
| 9467 | 仿真结果表明,本文所提出的方法能够快速地对再入段的轨迹进行有效规划,具有很强的实用性。 | The simulation results show that the proposed method can rapidly to effective planning of reentry trajectory, have very strong practicability. |
| 9468 | 研究了飞机运动模型（aircraft motion model,AMM）与中、低精度捷联惯导系统（strapdown inertial navigation system,SINS）相融合的组合导航技术。 | Studied the aircraft motion model (aircraft motion model, AMM) with middle and low accuracy of strapdown inertial navigation system (strapdown inertial navigation system, SINS) combining integrated navigation technology. |
| 9469 | 针对由于气动系数的不准确所导致的系统方程的不确定性以及观测方程和噪声的不确定性问题,提出采用基于极小极大准则的扩展H。 | For inaccurate due to the aerodynamic coefficient caused by the uncertainty of the system equations and the observation equation and the uncertainty of the noise problem, is proposed based on extension of minimax criteria H. |
| 9470 | 提出一种基于容积卡尔曼滤波的线性约束恒模波束形成算法。 | In this paper, a kalman filter based on volume of linear constrained constant modulus beam-forming algorithm. |
| 9471 | 首先使用伪观测法将恒模代价函数和约束条件写成状态观测方程,之后利用容积卡尔曼滤波算法来求解以上非线性滤波问题。 | First of all, using the pseudo observation method will constant modulus cost function and constraint condition as state observation equation, after volume kalman filtering algorithm is used to solve the above nonlinear filtering problem. |
| 9472 | 所提方法能够避免常规算法对模型的近似处理和特征值分散效应对波束形成器输出性能的影响,因此对干扰和噪声有更强的抑制能力。 | The proposed method can avoid the conventional algorithm of the model of approximate treatment and eigenvalue dispersion effect affect the performance of beam-forming output, therefore to the interference and noise had a stronger inhibitory ability. |
| 9473 | 仿真结果表明,本算法相比随机梯度法和递归最小二乘法具有更快的收敛速度和更高的输出信干噪比,在非平稳环境下,能够迅速调整权值收敛到最优解。 | The simulation results show that the algorithm is compared with the stochastic gradient method and recursive least square method has faster convergence speed and the output noise ratio, higher in nonstationary environment, able to converge to the optimal solution rapidly adjusting relevance weights. |