This paper advances an adaptive data filtering method, which USES the lattice structure to predict and estimate radar clutters. The calculation of the lattice coefficient adopts the Burg method.
本文提出了一种自适应的数字滤波方法，它是利用格型结构来预测和估计雷达杂波，而格型系数的计算采用了伯格算法。
A slightly modified strong tracking filtering algorithm is used to estimate the reduced-order state vector, which is then used to estimate the nonlinear state function.
采用一种稍加修改的强跟踪滤波算法估计降阶状态向量，然后利用降阶状态向量估计非线性状态函数。
The azimuth information of target acquired by airborne Radar Warning Receiver (RWR) is used to estimate the distance, speed and other motion information of the target through non-linear filtering.
针对载机尾后目标探测问题，提出利用机载雷达告警接收机提供的目标方位信息，运用非线性滤波算法对载机尾后目标的距离、速度等运动信息进行实时估计。
To solve the problem of filtering divergence, a method to estimate the statistical feature of measurement noise was introduced.
针对滤波发散的问题，引入了一种在线估计观测噪声统计特性的自适应滤波方法。
The sequential regression analysis was adopted to screen off the secondary factors, and the Kalman filtering technique was used to estimate innovation coefficients of the model dynamically.
通过逐步回归分析方法剔除次要影响因素，并采用卡尔曼滤波方法动态预测回归残差项。
The estimator utilizes constraints on both the subspace and the errors of steering vectors to design a narrow filter. The filter outputs the spectral estimate with the filtering vector as its input.
该方法根据空间约束和导向矢量误差约束获得相应的窄带滤波器，并利用其对Capon滤波矢量进行滤波得到谱估计。
The estimator utilizes constraints on both the subspace and the errors of steering vectors to design a narrow filter. The filter outputs the spectral estimate with the filtering vector as its input.
该方法根据空间约束和导向矢量误差约束获得相应的窄带滤波器，并利用其对Capon滤波矢量进行滤波得到谱估计。
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