Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices

Conference paper


Lota, J. and Demosthenous, A. 2020. Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices. ISCAS 2020: IEEE International Symposium on Circuits & Systems. Virtual Event 10 - 21 Oct 2020 IEEE.
AuthorsLota, J. and Demosthenous, A.
TypeConference paper
Abstract

Internet-of Things (IoT) is getting connected to an
increasing number of mobile devices such as autonomous
vehicles, drones and robots. Termed as Mobile Industrial
Internet-of Things (MI²oT) devices in this paper, a key
requirement of these devices is to accurately estimate range and Doppler in various applications, in addition to data communication. Research efforts therefore include incorporating MI²-oT devices with high-data rate communications together with Frequency Modulated
Continuous Wave Radar (FMCW) sensing capabilities. Range
and Doppler sensing, in FMCW radars is undertaken by a twostage Fast Fourier Transform (FFT) which is computationally demanding. It is challenging to design baseband processing with FFTs that can be implemented as low computational hardware or application specific integrated circuits (ASIC) in MI²-oT devices. This paper, presents a novel range and Doppler sensing technique based on Goertzel filtering, leading to considerable reduction in computations compared to the FFT. FMCW radar with Goertzel filtering and FFT are examined in three cases viz., sensing the range and velocity of a car, vibration and respiration monitoring. Simulation results show a computation reduction of the order of 6.3×, 7.7× and 8.1× 𝐢𝐧Giga-operations per second (GOPS) for the three cases respectively. The reduced computations increase the feasibility of implementing range and Doppler sensing in MI²oT devices which have restricted computational resources.

Year2020
ConferenceISCAS 2020: IEEE International Symposium on Circuits & Systems
PublisherIEEE
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Accepted05 Jan 2020
Deposited08 Jan 2020
Copyright holder© 2020 IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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