一种机动目标无源定位的新方法

目前对仅用测角信息的单站无源定位问题的研究，主要是基于固定辐射源目标以及匀速直线运动的辐射源目标，而在实际应用中目标常常是机动的。由此，提出了一种可调白噪声UKF方法。该方法在机动目标跟踪中使用可调白噪声模型方法，它不需要假定目标的机动加速度模型，而是通过检测跟踪滤波器归一化新息平方来调整过程噪声，从而实时地修正估计结果。同时算法对量测模型非线性问题采用UKF予以解决，不仅能克服EKF中引入的较大线性化误差对机动目标跟踪算法性能的影响，而且算法实现简单。最后将该算法与三种机动目标被跟踪算法相比较，仿真结果验证了提出算法的优越性。

A New Approach for Passive Location of Maneuvering Target

Study on bearings-only passive location by single observer presently focuses on the quiet or constant - velocity targets, while targets often do manoeuver in real-life application. A white noise model with adjustable level using UKF approach is proposed for this problem. The approach uses the white noise model with adjustable level method for maneuvering target tracking, ,so it need not assume the model of maneuvering target. Instead the process noise is adjusted by the detection of the normalized innovations square of filter. Therefore, the approach can modify the estimation real-time . On the other hand, UKF is used for the non-linearity of observation model in this approach, hence it is not affected by the linearization error in EKF and it is easy to implement. Finally the approach is compared with other three maneuvering target tracking methods and the simulation shows the superiority of the algorithm.