基于分频段加权的加速振动试验方法

振动环境工程研究现行采用的加速试验方法中,都只考虑了加速因子与频率无关这种情形,这不仅提高了试验设备的推力要求,也增加了位移指标要求。文章提出了一种分频段加权的加速振动试验方法,即通过对低频段加速因子的权重的优化设计,实现较小的位移指标要求,且疲劳损伤累积等效。给出了基于Dirlik方法和TB方法疲劳损伤等效的加速试验设计方法和工程实现流程。针对该方法开展了应用实例的计算,结果表明:在疲劳损伤等效的前提下,显著降低了振动台的位移,且推力基本维持不变。     

嵌套阵列最大似然估计测向算法

针对在辐射源个数未知的条件下嵌套阵列难以估计多个辐射源角度的问题,提出了基于最大似然估计(MLE)的嵌套阵列角度估计算法。算法在嵌套阵列模型的基础上,首先通过推导阵列截获多辐射源信号的最大似然函数及其梯度,利用最速下降法估计出空域中所有潜在辐射源的角度;然后,通过多元假设检验,利用最大似然比与门限进行比较,确定出空域中所有潜在辐射源中某一时刻发射信号的活跃辐射源角度,排除其余噪声形成的虚假辐射源角度,解决了在辐射源个数未知条件下嵌套阵列对多个辐射源角度估计问题。仿真结果表明:与传统多重信号分类(MUSIC)算法相比,该算法在辐射源数目未知、存在相干信号、低信噪比(SNR)、低快拍数条件下,均具有较好的角度估计精度,并且算法形成的虚拟阵列自由度是空间平滑MUSIC算法的2倍;多元假设检验法比传统信源数目估计算法在低信噪比条件下和处理相干信号方面具有明显优势。     

Orbit determination of BDS-3 satellite based on regional ground tracking station and inter-satellite link observations

The BeiDou global navigation satellite system (BDS-3) has established the Ka-band inter-satellite link (ISL) to realize a two-way ranging function between satellites, which provides a new observation technology for the orbit determination of BDS-3 satellites. Therefore, this study presents a BDS satellite orbit determination model based on ground tracking station (GTS) observations and ISL ranging observations firstly to analyze the impact of the ISL ranging observations on the orbit determination of BDS-3 satellites. Subsequently, considering the data fusion processing, the variance component estimation (VCE) algorithm is applied to the parameter estimation process of the satellite orbit determination. Finally, using the measured data from China’s regional GTS observations and BDS-3 ISL ranging observations, the effects of ISL ranging observations on the orbit determination accuracy of BDS-3 satellites are analyzed. Moreover, the impact of the VCE algorithm on the fusion data processing is evaluated from the aspects of orbit determination accuracy, Ka-band hardware delay parameter stability, and ISL ranging observation residuals. The results show that for China’s regional GTSs, the addition of BDS-3 ISL ranging observations can significantly improve the orbit determination accuracy of BDS-3 satellites. The observed orbit determination accuracy of satellite radial component is improved from 48 cm to 4.1 cm. In addition, when the initial weight ratio between GTS observations and ISL ranging observations is not appropriate, the various indicators which include orbit determination accuracy, ISL hardware delay, and ISL observation residuals were observed to have improved after the adjustment of the VCE algorithm. These results validate the effectiveness of the VCE algorithm for the fusion data processing of the GTS observations and ISL ranging observations.     

超声速状态下航空发动机部件蜕化参数估计与性能恢复控制

为解决超声速状态下航空发动机部件蜕化参数估计与性能恢复控制的难题，基于改进卡尔曼滤波器，通过一种三维插值方法实现超声速状态包线范围内的发动机部件蜕化参数估计。而航空发动机性能恢复控制是在常规内环控制转速的基础上增加了外环控制回路，该回路主要包括推力估计模型与外环控制器两部分。基于最小二乘支持向量回归机设计了一种推力估计模型，其输入采用特征选择算法筛选推力估计模型的最优输入，相比于传统的不经选择的推力估计模型，精度有较大提高。设计了外环模糊PI（Proportional integral）控制器自适应调节内环转速指令来实现蜕化发动机性能恢复的目的。最后通过超声速状态下的数字仿真，验证了上述发动机部件蜕化参数估计与性能恢复控制方案的有效性。      

基于EKF的主动雷达寻的制导状态估计与最优控制研究

针对主动雷达寻的制导问题,进行了非线性系统状态估计和最优制导律的研究,并进行了目标机动情况下的仿真验证。利用主动雷达给出的带有噪声的观测信息,设计了寻的制导系统扩展卡尔曼滤波器,估计弹目相对运动状态信息。基于最优控制理论,按照需用过载和脱靶量最小设计了线性二次型最优制导律。仿真结果表明,所设计的主动雷达寻的制导系统滤波器和最优制导律能有效对付机动目标,满足飞行器控制要求。     

一种TASIMM-UKF导弹状态估计方法

为了提高对机动导弹状态估计的精度和速度,提出了一种三轴分离IMM-UKF(TASIMM-UKF)滤波算法。将导弹运动状态按坐标轴方向进行三轴分离,并基于CV,CA和CJ模型集,采用无迹卡尔曼滤波器并行估计导弹三轴状态信息,有效地解决了导弹不同运动轴间的模型竞争问题。仿真结果表明,该方法能有效提高状态估计精度,缩短了估计时间,对复杂大机动目标状态估计具有良好的性能。     

三浮陀螺伺服测试误差系数估计方法

为了更好地解决工程实际中三浮陀螺极轴伺服测试时误差系数估计问题,采用了Kalman滤波和递推最小二乘的方法.试验结果证明,Kalman滤波方法能够有效地估计出极轴伺服测试时的陀螺误差系数.用统计检验的方法分析了该模型以及各系数的显著性,结果显示对Dvz和Dzz的估计是显著的.     

A fast pulse phase estimation method for X-ray pulsar signals based on epoch folding

X-ray pulsar-based navigation (XPNAV) is an attractive method for autonomous deep-space navigation in the future. The pulse phase estimation is a key task in XPNAV and its accuracy directly determines the navigation accuracy. State-of-the-art pulse phase estimation techniques either suffer from poor estimation accuracy, or involve the maximization of generally non-convex object function, thus resulting in a large computational cost. In this paper, a fast pulse phase estimation method based on epoch folding is presented. The statistical properties of the observed profile obtained through epoch folding are developed. Based on this, we recognize the joint prob-ability distribution of the observed profile as the likelihood function and utilize a fast Fourier transform-based procedure to estimate the pulse phase. Computational complexity of the proposed estimator is analyzed as well. Experimental results show that the proposed estimator significantly outperforms the currently used cross-correlation (CC) and nonlinear least squares (NLS) estima-tors, while significantly reduces the computational complexity compared with NLS and maximum likelihood (ML) estimators.     

Direction finding for two-dimensional incoherently distributed sources with Hadamard shift invariance in non-uniform orthogonal arrays

This paper proposes a novel algorithm for Two-Dimensional (2D) central Direction-of-Arrival (DOA) estimation of incoherently distributed sources. In particular, an orthogonal array structure consisting of two Non-uniform Linear Arrays (NLAs) is considered. Based on first-order Taylor series approximation, the Generalized Array Manifold (GAM) model can first be established to separate the central DOAs from the original array manifold. Then, the Hadamard rotational invariance relationships inside the GAMs of two NLAs are identified. With the aid of such relationships, the central elevation and azimuth DOAs can be estimated through a search-free polynomial rooting method. Additionally, a simple parameter pairing of the estimated 2D angular parameters is also accomplished via the Hadamard rotational invariance relationship inside the GAM of the whole array. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao lower bound. The simulation results show that the proposed algorithm can achieve a remarkably higher precision at less complexity increment compared with the existing low-complexity methods, which benefits from the larger array aperture of the NLAs. Moreover, it requires no priori information about the angular distributed function.     

多操纵面飞翼构型飞机舵面故障在线诊断方法

舵面故障会影响飞机的操纵性,为实现飞机的控制重构需在线诊断出舵面的故障信息.针对多操纵面飞翼构型飞机,提出了一种在线诊断其舵面故障的方法.飞翼构型飞机舵面故障在线诊断需辨识的操纵导数个数较多,直接使用最小二乘法难以精确辨识得到各操纵导数.基于限定记忆最小二乘法,采用分组辨识法对飞机的操纵导数进行辨识,减少了每次辨识操纵...