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Frequency domain reflectometry (FDR) has recently been proposed as a method for inferring the topology of power line communications (PLC) networks. In this paper, we introduce and compare two approaches to process FDR measurements for topology inference. The first approach is based on peak-detection using the inverse Fourier transform of FDR measurements. We refer to this method as the nonparametric method. The second approach is based on a parametric model, which under reasonable assumptions makes Prony-type methods applicable to the problem at hand. The advantages and the limitations of both methods are determined and discussed. Simulation results demonstrate the performance of each method. [ABSTRACT FROM PUBLISHER]

Frequency Domain Reflectometry (FDR) is a technique that was proposed for fault detection in Digital Subscriber Line (DSL) cables. In this paper, we describe how FDR can be used to determine the topology of power line networks. To this end, we first infer distance information from the multiple signal reflections measured and processed with FDR. Then, we present an algorithm that uses these distance measurements to reconstruct the topology step by step operating on a network graph. Numerical results for sets of sample networks demonstrate the effectiveness of the proposed topology-inference approach. [ABSTRACT FROM PUBLISHER]