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Coherent Estimation of Three Positioning Measurements for Unknown Frequency-Hopping Signals in Passive Emitter Localization

机译:无源发射器定位中未知频率跳频信号的三个定位测量的相干估计

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Due to the superior anti-interception performance and inherent security features, the wide applications of frequency-hopping (FH) signals bring a great challenge to the reconnaissance and monitoring of FH emitters. This paper addresses the problem of positioning measurement estimation for unknown FH signals in passive localization, considering the range migration (RM) and Doppler frequency migration (DFM) of the maneuvering target within the observation time. A coherent range difference (RD), range rate difference (RRD) and acceleration difference (AD) estimation algorithm based on scaled Fourier transform and scaled non-uniform fast Fourier transform is proposed. This method can effectively remove RM and random DFM effects regardless of varied carrier frequency and achieve the coherent estimation of RD, RRD and AD. The whole estimation process can be easily implemented by complex multiplications combined with fast Fourier transform (FFT) and inverse FFT operations without any brute-force searching procedure. Numerical experiments demonstrate that the anti-noise performance of the proposed method is superior to several representative methods and comparable to the optimal maximum likelihood estimator with a much lower computational cost.
机译:由于卓越的反拦截性能和固有的安全性功能,跳频(FH)信号的广泛应用为FH发射器的侦察和监测带来了巨大挑战。本文介绍了无源本地化中未知的FH信号的定位测量估计的问题,考虑到观察时间内的机动目标的范围迁移(RM)和多普勒频率迁移(DFM)。提出了一种基于缩放傅里叶变换和缩放非均匀快速傅立叶变换的基于缩放傅立叶变换和缩放不均匀快速傅立叶变换的相干范围差(RD),范围率差(AD)估计算法。该方法可以有效地除去RM和随机DFM效果,而不管载波频率如何,并且实现RD,RRD和AD的相干估计。整个估计过程可以通过复杂的乘法组合与快速傅里叶变换(FFT)和逆FFT操作组合而不容易地实现,而没有任何蛮力搜索过程。数值实验表明,所提出的方法的抗噪声性能优于几种代表性方法,并且与具有更低计算成本的最佳最大似然估计器相当。

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