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Direct positioning maximum likelihood estimator using TDOA and FDOA for coherent short-pulse radar

机译:使用TDOA和FDOA的相干短脉冲雷达直接定位最大似然估计器

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摘要

The intra-pulse phase change caused by frequency difference of arrival (FDOA) is very little and even omitted due to extremely short duration of emitter pulses that the joint location using time difference of arrival (TDOA) and FDOA cannot be realised. To solve this problem, a multi-pulse coherent accumulation algorithm of direct position determination (DPD) using the TDOA and FDOA is proposed in this study. Through establishing coherent signal model of short pulses which is deterministic but unknown, the maximum likelihood estimator for localisation of a stationary emitter using multiple moving receivers is derived by taking the DPD approach under additive Gaussian white noise environment. This study also derives a signal-specific Cramer-Rao lower bound (CRLB) of DPD, modelling the signal as a deterministic unknown. The CRLB is more applicable to some specific (non-stationary, non-Gaussian) signals, especially electromagnetic signals. Simulation results show that the proposed method achieves a significant performance improvement in locating accuracy over the existing methods and its accuracy is close to the CRLB in normal signal-to-noise ratio.
机译:由于到达频率差(FDOA)引起的脉冲内相位变化非常小,甚至由于发射器脉冲的持续时间极短而被忽略,从而无法实现使用到达时间差(TDOA)和FDOA的联合位置。为解决这一问题,本文提出了一种使用TDOA和FDOA进行直接位置确定(DPD)的多脉冲相干累积算法。通过建立确定性但未知的短脉冲相干信号模型,采用加性高斯白噪声环境下的DPD方法,推导了使用多个移动接收器定位固定发射器的最大似然估计。这项研究还得出了DPD的信号特定Cramer-Rao下限(CRLB),将信号建模为确定性未知量。 CRLB更适用于某些特定(非平稳,非高斯)信号,尤其是电磁信号。仿真结果表明,该方法在定位精度上比现有方法有明显的提高,在正常信噪比下,其精度接近CRLB。

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