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Non-Cooperative Target Localisation Using Rank Based EDM Approach

机译:基于排名的EDM方法进行非合作目标定位

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An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.
机译:分析了传感器数量对非合作目标节点定位的影响。这项工作使用基于集中范围的方法来检查目标定位。为此,这项工作利用了基于一类称为欧几里德距离矩阵(EDM)的矩阵结构的算法,专门用于在融合中心(FC)由于衰落或阴影而无法接收某些传感器信息的情况下提高定位性能,虽然已经发现这种解决定位问题的有趣方法是成功的,但它也显示了在高延迟值下,所建议的基于交替秩的EDM算法在最小数量的噪声方面优于传统的基于线性最小二乘(LLS)的算法。传感器。当EDM的条件更好时,即当传感器彼此分开并更靠近目标时,定位误差会减小。

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