Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/10835
Title: Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm
Authors: Pachori, Ram Bilas;
Keywords: Parameter estimation; Radon; Bessel's function; Doppler parameters; Doppler signals; Function properties; Inverse Radon transforms; Mathematical expressions; Micro-Doppler; Multicomponents; Param-eter estimation; Parameter estimation algorithm; Bessel functions
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sharma, S., Girish, A., Rakhashia, N. P., Gadre, V. M., Ul Haque, S., Ansari, A., . . . Sahay, P. (2022). Theoretical analysis of an inverse radon transform based multicomponent micro-doppler parameter estimation algorithm. Paper presented at the 2022 National Conference on Communications, NCC 2022, 70-75. doi:10.1109/NCC55593.2022.9806802 Retrieved from www.scopus.com
Abstract: In this paper, we perform a theoretical analysis of an inverse Radon transform-based micro-Doppler parameter es-timation algorithm. For a multicomponent micro-Doppler signal, no mathematical expression was proposed in this algorithm to find the number of frequency terms to be dropped for efficient elimination of estimated micro-Doppler components. Hence, we first derive an expression for the number of frequency terms to set to zero for efficient elimination of estimated micro-Doppler components by exploiting standard Bessel function properties. We verify our result through simulations with up to three targets, even in the presence of noise. We also provide an analysis of the limiting performance of the algorithm for two targets as the parameters are made close to each other. © 2022 IEEE.
URI: https://doi.org/10.1109/NCC55593.2022.9806802
https://dspace.iiti.ac.in/handle/123456789/10835
ISBN: 978-1665451369
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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