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针对高脉冲重复雷达距离模糊问题,提出一种新的混合滤波解距离模糊方法.通过把脉冲间隔数和脉冲间隔变化量作为目标待估计状态,对离散的脉冲间隔数、间隔变化量和连续的目标状态(位置和速度)进行混合滤波,从而将解距离模糊问题转换为对脉冲间隔数的估计问题.初始时刻,由于距离量测模糊,利用多个高脉冲重复频率(HPRF)采用欧氏距离对混合状态进行初始化.在滤波过程中,为了避免门限选择,首先根据脉冲间隔变化量的有限个离散取值,将六维向量的混合滤波模型等效为有限个五维向量的混合滤波模型;然后对量测分别进行混合滤波;最后通过对各模型得到的新息的2范数进行比较获得混合状态估计,从而实现解距离模糊.混合滤波解距离模糊方法为实现高脉冲重复频率雷达实时解距离模糊提供了一种新的研究思路,仿真结果表明,本文提出的混合滤波方法在只有一个脉冲重复频率获得目标量测时较现有多假设方法收敛速度快,并且可以克服多假设方法在脉冲间隔数变化时发生的解模糊错误.
Aiming at the problem of high pulse repetitive radar distance blurring, a new hybrid filtering method for distance blurring is proposed. By taking the number of pulse intervals and the variation of pulse interval as the target state to be estimated, the number of discrete pulse intervals, interval variation and continuous The target state (position and velocity) is mixed and filtered, so that the problem of ambiguity of solution distance is converted into the problem of estimating the number of pulse intervals.In the initial time, due to the ambiguous distance measurement, a plurality of high pulse repetition frequencies (HPRF) In the process of filtering, in order to avoid the threshold selection, the mixed filtering model of six-dimensional vector is first used as a mixed filter model of finite five-dimensional vector according to the finite discrete values of the variation of pulse interval. And then the hybrid filtering is carried out on the measurement respectively.At last, the 2-norm of the new information obtained by each model is compared to obtain the mixed state estimation, so as to realize the ambiguity resolution.Mixed-filtering solution to the distance fuzzy method is to realize the real-time solution of high pulse repetition frequency radar The distance fuzzy provides a new research idea, the simulation results show that the proposed hybrid filtering method Only a pulse repetition frequency is obtained than the conventional method of multi-hypothesis faster convergence measurement target, solutions and methods can be overcome when the number of pulses that occur multiple hypothesis interval change fuzzy error.