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Underwater TDOA/FDOA joint localisation method based on cross-ambiguity function

机译:基于交叉歧义功能的水下TDOA / FDOA联合定位方法

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In the underwater sound source localisation systems, the sound wave signal is accompanied by time delay and Doppler shift, where the cross-ambiguity function (CAF) is commonly applied as a method of estimating them. This study proposes a novel method for calculating the exact value of the CAF,based on the theory of curved surface interpolation. Firstly, two optimisation problems with equality and inequality constraints are developed, where the penalty function method is employed to turn the equality constraint problem into an unconstrained problem. Secondly, the time delay and Doppler shift of the CAF solution are processed to obtain the measurement values required for accurate localisation. Furthermore, the authors propose an improved time difference of arrival and frequency difference of arrival (TDOA/FDOA)-based joint localisation algorithm, which changes the structure of traditional localisation equations and eliminates the localisation imprecision caused by neglecting the square term of the noise. The performance of the proposed algorithm is verified by extensive simulations and comparisons with several established methods. Remarkably, the proposed localisation method is confirmed to be noticeably superior and effective for the considered application.
机译:在水下声源定位系统中,声波信号伴随着时间延迟和多普勒偏移,其中跨模糊函数(CAF)通常被应用为估计它们的方法。本研究提出了一种基于曲面插值理论来计算CAF的确切值的新方法。首先,开发了两个具有平等和不等式约束的优化问题,其中采用惩罚功能方法将平等约束问题转换为不受约束的问题。其次,处理CAF溶液的时间延迟和多普勒偏移以获得精确定位所需的测量值。此外,作者提出了一种改进的到达时间差和到达的频率差(TDOA / FDOA)的基于联合定位算法,其改变了传统定位方程的结构,并消除了忽略噪声的平方术语引起的定位不精确。通过具有多种建立方法的广泛模拟和比较来验证所提出的算法的性能。值得注意的是,所提出的定位方法被证实明显优异,并且对所考虑的应用有效。

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