This paper presents a new time of arrival (TOA) estimation technique using an improved energy detection (ED)\nreceiver based on the empirical mode decomposition (EMD) in an impulse radio (IR) 60 GHz millimeter wave\n(MMW) system. A threshold is employed via analyzing the characteristics of the received energy values with an\nextreme learning machine (ELM). The effect of the channel and integration period on the TOA estimation is\nevaluated. Several well-known ED-based TOA algorithms are used to compare with the proposed technique. It is\nshown that this ELM-based technique has lower TOA estimation error compared to other approaches and provides\nrobust performance with the IEEE 802.15.3c channel models.
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