Object Classification using Micro-Doppler Signature and Clutter Suppression in MIMO Radar

Ghoshal, T and Hari, KVS (2022) Object Classification using Micro-Doppler Signature and Clutter Suppression in MIMO Radar. In: 2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022, 8 - 10 July 2022, Bangalore.

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Abstract

Radar(Radio-Detection and Ranging) has become very popular for several applications-in meteorology, defence, aircraft system and navigation system. The main purpose of the radar is to detect any object-moving or stationary. However, to get the micro-motion(internal motions of an object), we need to get micro-Doppler feature. In this report, the micro-Doppler feature of birds have been discussed using MIMO radar system as combination of several bistatic radar system. Also classification of multiple birds has been discussed in presence of noise and without noise. Also, adaptive signal processing technique (LMS,RLS,NLMS) has been discussed for clutter suppression. Finally application of LMS-Newton method has been discussed for clutter suppression.It can be seen that it has faster convergence compared to other algorithms.

Item Type:	Conference Paper
Publication:	2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Air navigation; Aircraft; Aircraft detection; Birds; Clutter (information theory); Echo suppression; Learning algorithms; Machine learning; MIMO radar; Radar clutter; Radio navigation; Tracking radar, Adaptive signal processing; Clutter suppression; Doppler clutters; Doppler signatures; Features extraction; LMS; Machine learning algorithms; Micro-Doppler; Object classification; Radio detection and ranging, Object detection
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	12 Oct 2022 11:45
Last Modified:	12 Oct 2022 11:45
URI:	https://eprints.iisc.ac.in/id/eprint/77317

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