ID 原文 译文
26575 为提高对机动目标的跟踪效果，提出了一种基于扩展H∞滤波的自适应交互多模多被动传感器机动目标跟踪算法。 In order to improve the tracking performance for maneuvering target, put forward a kind of based on extended h-infinity filter adaptive interacting multiple model more passive sensor maneuvering target tracking algorithm.
26576 利用简化的Sage-Husa自适应滤波器与交互多模相结合，对多被动传感器测得的目标角度信息进行融合，解决了被动式跟踪系统的可观测性及非线性问题，将扩展H∞滤波器作为模型条件滤波器，通过调节扩展H∞滤波器参数和量测噪声预测协方差矩阵，增强了对外界干扰的鲁棒性。 Using a simplified Sage - Husa adaptive filter combined with multimode interaction, the more passive sensor measured target Angle information fusion, solved the passive tracking system observability and nonlinear problem, would extend the h-infinity filter as a condition of model filter, by adjusting the extension h-infinity filter parameters and the measurement noise covariance matrix, to enhance the robustness to external disturbance.
26577 仿真结果表明，所提算法比扩展卡尔曼滤波交互多模算法和标准交互多模算法具有更高的跟踪性能，在多站被动红外搜索与跟踪中是一种有效的跟踪算法。 Simulation results show that the proposed algorithm than the extended kalman filtering interacting multiple models algorithm and standard interacting multiple model algorithm has better tracking performance, stood more than passive infrared search and tracking is an efficient tracking algorithm.
26578 提出了一种基于遗传算法和禁忌搜索算法的多输入多输出雷达正交多相码波形设计方法，并将其用于类零相关正交多相码的设计。 Put forward a kind of based on genetic algorithm and tabu search algorithm of multiple input multiple output orthogonal polyphase codes radar waveform design method, and use it to zero correlation orthogonal polyphase code design.
26579 将禁忌搜索算法引入遗传算法，充分考虑遗传算法的全局收敛性和禁忌搜索算法的局部收敛性。 The genetic algorithm, tabu search algorithm is introduced into fully considering the global convergence of genetic algorithm and tabu search local convergence of the algorithm.
26580 为给禁忌搜索算法一个好的初始解，先用遗传算法优化到一定程度再用禁忌搜索算法，即遗传算法迭代多次，禁忌搜索算法迭代一次。 To give a good initial solution tabu search algorithm, use genetic algorithm to optimize first to a certain degree with tabu search algorithm, namely genetic algorithm iteration times, a tabu search algorithm iteration.
26581 采用最优保存策略来避免最优解丢失，使发射信号的自相关峰值旁瓣和互相关峰进一步降低，提高主副比。 Preserved by the optimal strategy to avoid the optimal solution is missing, make the emission signal autocorrelation peak sidelobe and GuanFeng further reduce each other, improve the deputy.
26582 仿真结果验证了所提方法的可行性和有效性。 The simulation results verify the feasibility and effectiveness of the proposed method.
26583 针对非均匀稀疏采样环境下的被动机动目标跟踪问题，基于模糊逻辑推理，提出了一种新的自适应α-β滤波算法。 For nonuniform sparse sampling problem of maneuvering target tracking, based on the fuzzy logic reasoning, this paper proposes a new adaptive alpha beta filtering algorithm.
26584 详细分析了非均匀稀疏采样被动传感器上报数据的特点，将标准化新息和新息的一阶微分作为模糊推理的两个输入变量，并同时引入时间间隔、目标速度等因素，设计输入变量的调整因子，自适应获取滤波器参数。 Nonuniform sparse sampling are analyzed in detail the characteristics of the passive sensor reported data, to standardize the new rate and the new rate of first order differential as two input variables of fuzzy reasoning, and at the same time interval is introduced, the target speed and other factors, the adjustment of the design input variable factor, the adaptive filter parameters.