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Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm
Journal
2022 National Conference on Communications, NCC 2022
Date Issued
2022-01-01
Author(s)
Sharma, Shrikant
Girish, Adway
Rakhashia, Nikhar P.
Gadre, Vikram M.
Ul Haque, Shaan
Ansari, Aseer
Pachori, Ram Bilas
Radhakrishna, P.
Sahay, Peeyush
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.
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