摘要
角度跟踪环路在机载雷达对目标的距离、速度、角度3维联合跟踪中起着至关重要的作用。该文分析指出传统采用卡尔曼滤波算法形成角度跟踪环路对机动目标角度进行跟踪时跟踪精度低,角跟踪误差收敛速度慢的缺点,提出弯曲度检测跟踪环路滤波器(Bend Degree Tracking Loop Filter,BDTLF)设计方法,其利用弯曲度检测角度曲线拐点,自适应地调节环路滤波器环路等效噪声带宽,并以此来控制角度跟踪环路。此算法加快了角跟踪误差的收敛速度,减轻了拐点处的角度滤波扰动,保持了滤波性能的连续性。计算机仿真结果验证了该文方法相比于卡尔曼滤波算法、粒子滤波算法、a-b-g滤波算法及恒定系数环路滤波器方法,对弱机动目标角度跟踪具有更加出色的性能。
The angle tracking loop in airborne radar facing to a maneuvering target plays a vital role in the joint3D-tracking of range, velocity and angle. This paper analyses the disadvantage of the conventional Kalman filter algorithm employed to track a maneuvering target＇s angle, which are a low tracking precision and a slow convergence rate of angle tracking error. In order to solve these problems, a novel angle tracking algorithm called Bend Degree Tracking Loop Filter（BDTLF） is put forward to detect the corners in target＇s angle curve by bend degree detection and adjust the loop noise bandwidth adaptively to control angle tracking loop. The proposed algorithm accelerates the convergence rate in angle tracking loop, lightens the filtering disturbance around target＇s angle curve corners, and keeps the continuity of filtering performance. The computer simulation results demonstrate that compared with the angle tracking loop using Kalman filtering algorithm, particle filtering algorithm, a-b-g filtering algorithm or a constant coefficient loop filter, this novel method has a more satisfying performance in angle tracking of weakly maneuvering targets.
出处
《电子与信息学报》
EI
CSCD
北大核心
2015年第12期2948-2955,共8页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61401207)~~
关键词
角度跟踪
弱机动目标
环路滤波器
拐点检测
Angle tracking
Weakly maneuvering target
Loop filter
Corner detection
