基于方位线性预测的远距离目标机动检测方法

Maneuver Detecting Algorithm with Bearings-Only Measurements Based on Linear Forecasting of Bearings

随着水下声探测的范围成倍增大,纯方位目标定位与跟踪技术面临严峻的挑战,特别是在对抗条件下的目标机动检测与跟踪问题难度更大。针对基于拖曳线列阵声纳探测的远距离目标机动检测问题,通过对以往纯方位目标机动检测方法的适用性分析,结合远距离目标方位变化的特点,提出了基于方位序列线性预测的累积和机动检测模型。实验室仿真验证结果表明,算法对幅度稍大的目标转向机动,具有较灵敏的机动检测效果及较强的鲁棒性。因此,该检测方法解决了远距离、大误差、纯方位量测条件下的目标机动检测问题。

According to the application of towed linear array, the acoustic detecting range is becoming larger. So the tech- nology of bearings-only TMA is faced with a severer challenge, especially the problem of target＇ s maneuver detecting is more difficult. As for the problem of large range target＇ s maneuver detecting, after analyzing the former algorithms of target＇ s ma- neuver detecting, and thinking of the behaviour of large range target＇ s bearings, a CUSUM maneuver detecting model under fiting and forecasting for the sequence of bearings is proposed. The new method can solve the problem of bearings-only ma- neuver detecting on large range and error level. Simulation results prove the efficiency of the proposed method.