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首页> 外文期刊>Radar, Sonar & Navigation, IET >Recursive instrumental variable method for locating a scanning emitter by a single observer using time of interception
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Recursive instrumental variable method for locating a scanning emitter by a single observer using time of interception

机译:用于使用拦截时间由单个观察者定位扫描发射器的递归工具变量方法

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摘要

The recursive solution to passive localisation of a scanning emitter using time of interception (TOI) by a single moving observer is investigated in this study. First, the correlated measurement noise in the traditional pseudo-linear model for the scanning emitter localisation is decoupled by introducing the first noise corrupted direction of arrival as a nuisance parameter. A recursive pseudo-linear least square (RPLS) estimator is then developed by transforming the TOI of the scanning emitter into the direction difference of arrival model. However, there is bias in this method due to the correlation between the measurement matrix and the noise. To reduce the bias, the instrumental variable (IV) method is used, and two recursive IV (RIV) estimators, forgetting factor based RIV (F2RIV) and Taylor series expansion based RIV (TSRIV), are proposed. It approximates the IV matrix recursively using the Taylor series expansion in the TSRIV estimator. Simulations show that the TSRIV estimator alleviates the bias compared with the RPLS estimator dramatically and can reach the Cramer-Rao lower bound at moderate measurement noise levels. Moreover, it is more stable and has shorter convergence time than the F2RIV estimator.
机译:在这项研究中,研究了使用单个移动观察者的拦截时间(TOI)对扫描发射器进行被动定位的递归解决方案。首先,通过引入第一噪声破坏的到达方向作为扰动参数来解耦用于扫描发射器定位的传统伪线性模型中的相关测量噪声。然后,通过将扫描发射器的TOI转换为到达方向差模型,来开发递归伪线性最小二乘(RPLS)估计器。然而,由于测量矩阵与噪声之间的相关性,该方法存在偏差。为了减少偏差,使用了工具变量(IV)方法,并提出了两个递归IV(RIV)估计器:基于遗忘因子的RIV(F2RIV)和基于泰勒级数展开的RIV(TSRIV)。它使用TSRIV估计器中的泰勒级数展开递归地近似IV矩阵。仿真表明,与RPLS估计器相比,TSRIV估计器可显着降低偏差,并且在中等测量噪声水平下可以达到Cramer-Rao下限。此外,与F2RIV估计器相比,它更稳定且收敛时间更短。

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