ID 原文 译文
26185 与其他方法相比，ESPRIT算法可以将发射和接收阵列的幅相误差进行解耦，并且DOA和DOD的RMSE只与阵列相位误差相关，与阵列幅值误差无关。 Compared with other methods, the ESPRIT algorithm can transmit and receive decouple the amplitude and phase error of the array, and DOA and DOD RMSE is only related to the phase error in the array, has nothing to do with the array amplitude error.
26186 仿真结果表明，理论值和仿真实验值能够较好地吻合，验证了理论的正确性。 The simulation results show that the theoretical value and simulation value can well match, validate the correctness of the theory.
26187 在单轴旋转惯导系统中，轴向陀螺漂移是影响系统导航精度的重要因素。 In a single shaft rotation inertial navigation system, the axial gyro drift is an important factor affected the accuracy of navigation system.
26188 为了提高惯导系统的导航精度，采用混沌粒子群算法(chaos particle swarm optimization，CPSO)优化的最小二乘支持向量机(least squaressupport vector machine，LSSVM)对轴向激光陀螺漂移进行辨识。 In order to improve the navigation precision of inertial navigation system, the use of chaotic particle swarm optimization algorithm (chaos particle swarm optimization, CPSO) optimization of least squares support vector machine (further squaressupport vector machine, LSSVM) to identify the axial laser gyro drift.
26189 利用初始对准12h内系统纬度误差和温度变化量作为LSSVM模型的训练数据，利用CPSO对LSSVM进行参数优化，利用优化后的LSSVM模型对轴向陀螺漂移进行辨识，轴向陀螺漂移辨识精度优于0.000 2(°)/h，系统定位误差优于1nm/72h。 Using initial alignment system latitude error and temperature variation in the 12 h as training data of LSSVM model, using CPSO on LSSVM parameters optimization, by using the optimized LSSVM model for axial gyro drift are identified and identification accuracy is superior to axial gyro drift 0. 000 2 (°)/h, system positioning error is better than 1 nm / 72 h.
26190 试验结果表明，CPSO是选取LSSVM参数的有效方法，该方法能够有效地辨识轴向陀螺漂移，具有很高的辨识精度，具有很高的实际应用价值。 Test results show that CPSO is an effective method to select LSSVM parameters, this method can effectively identify the axial gyro drift, high precision, has the very high practical application value.
26191 根据跳频信号与部分频带噪声阻塞干扰信号的近似统计独立性，提出一种基于盲源分离的跳频通信对抗部分频带噪声阻塞干扰方法。 According to the frequency hopping signals and partial band noise barrage jamming signal approximation of statistical independence, put forward a kind of based on blind source separation of frequency hopping communication confrontation partial band noise barrage jamming methods.
26192 所提方法利用分离信号的二阶或高阶统计量构建目标函数引导分离矩阵迭代，实现跳频信号与部分频带噪声阻塞干扰信号的有效分离，从而提高跳频通信的抗干扰能力。 Proposed method using the separated signals of the second order or higher order statistics to construct the objective function to guide the separation matrix iteration, realization of frequency hopping signals and effective separation of partial band noise barrage jamming signal, so as to improve the anti-jamming capability of fh communication.
26193 仿真结果表明，所提方法可明显改善跳频通信在部分频带噪声阻塞干扰下的误码率性能，而且分离算法的处理时延很小，有望满足跳频通信的实际需求。 The simulation results show that the proposed method can significantly improve the fh communication in ber performance under partial band noise barrage jamming, and separation algorithm processing time delay is small, is expected to meet the practical requirements of fh communication.
26194 圆迹合成孔径雷达(circular synthetic aperture radar，CSAR)可以对感兴趣的区域进行全方位、长时间观测，同时获得高分辨的图像。 Round mark synthetic aperture radar (circular synthetic aperture radar, CSAR) can be comprehensive, the region of interest for long time observation, to obtain high resolution image at the same time.