학술논문

Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm
Document Type
Conference
Source
2022 National Conference on Communications (NCC) Communications (NCC), 2022 National Conference on. :70-75 May, 2022
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Limiting
Radon
Estimation
Transforms
Frequency estimation
Robustness
Mathematical models
Micro-Doppler
inverse Radon transform
param-eter estimation
Bessel function
Language
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.