【摘要】 利用角度信息估计目标的距离和速度实质上是一个非线性状态估计问题,这种单站被动式跟踪可能构成一个不可观测系统,将导致跟踪滤波器的不稳定和发散。笔者针对反直升机雷构成的雷群进行目标定位和跟踪,利用最小二乘法和基于"当前"统计模型的自适应滤波组合算法进行数据处理,最小二乘法的估计结果作为自适应滤波的观测值和观测噪声方差,算法简单而且有效,在目标机动和非机动时都能得到良好的估计结果。更多还原

【Abstract】 The bearing-only location is a nonlinear state estimation in essence; the single observer passive tracking may form a unobservable system, makes the tracking filter instable and divergent. The target location and tracking using the mine-fields consisted of some anti-helicopter mines is analyzed and the algorithm is a combination of least squares estimation and the adaptive filtering algorithm based on current statistical model, the least squares estimation is used as the value to measure and the measurement noise variance of the adaptive filter. The results show that the algorithm is simple and efficient, and has a accurate state estimation for maneuvering and non-maneuvering target.更多还原