MANEUVERING TARGET DOPPLER-BEARING TRACKING WITH SIGNAL TIME DELAY USING INTERACTING MULTIPLE MODEL ALGORITHMS

MANEUVERING TARGET DOPPLER-BEARING TRACKING WITH SIGNAL TIME DELAY USING INTERACTING MULTIPLE MODEL ALGORITHMS
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DOI:
10.2528/pier08091501
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发表时间:
2008-01-01
影响因子:
6.7
通讯作者:
Ren, X. Y.
Ren, X. Y.
中科院分区:
计算机科学2区
文献类型:
--
作者:
Bi, S. Z.;Ren, X. Y.

文献摘要

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针对具有信号时滞的机动目标多普勒方位跟踪问题,提出了一种新的ISE-IMM方法。设计了迭代状态估计(ISE)方法来消除时延效应的负面影响,并嵌入了一个相互作用的多模型(IMM)滤波器来根据延迟信号的测量值估计状态。本文首选的非线性滤波器是具有改进重采样程序的粒子滤波器(PF)。在蒙特卡洛仿真中对该方法的性能进行了评价。结果表明,ISE-IMM-PF在对抗信号时延的负面影响方面是有效和稳定的。
For maneuvering target Doppler-bearing tracking with signal time delay, a novel approach called ISE-IMM is proposed in this paper. The iterative state estimation (ISE) method is designed to eliminate the negative influence of time delay effect and an interacting multiple model (IMM) filter is embedded to estimate the state according to the measurements of the delayed signal. The nonlinear filter preferred in this paper is a particle filter (PF) with an improved resampling procedure. Performance of our proposed method is evaluated in Monte Carlo simulations. Results show the effectiveness and stability of ISE-IMM-PF in combating the negative effect of signal time delay.