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2020•2020 URSI Regional Conference on Radio Science ( URSI-RCRS)Requires access

Multi-time Snapshot based Off-Grid DOA Estimation of Sparse Array Antennas using MFOCUSS Algorithm

Saurav Ganguly, Jayanta Ghosh, Mainak Mukhopadhyay, Puli Kishore Kumar

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Abstract

An off the grid direction-of-arrival estimation of the signals originating from quasi static targets is suggested in this paper using compressive sensing based sparse reconstruction of multiple time snapshot MFOCUSS algorithm. Simulation outcomes show that multi-snapshot restoration of the target location gives more accurate results in terms of root-mean-square error with respect to single snapshot instance.

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What this paper is about

An off the grid direction-of-arrival estimation of the signals originating from quasi static targets is suggested in this paper using compressive sensing based sparse reconstruction of multiple time snapshot MFOCUSS algorithm. Simulation outcomes show that multi-snapshot restoration of the target location gives more accurate results in terms of root-mean-square error with respect to single snapshot instance.

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Available abstract

An off the grid direction-of-arrival estimation of the signals originating from quasi static targets is suggested in this paper using compressive sensing based sparse reconstruction of multiple time snapshot MFOCUSS algorithm. Simulation outcomes show that multi-snapshot restoration of the target location gives more accurate results in terms of root-mean-square error with respect to single snapshot instance.

Key concepts: Snapshot (computer storage), Computer science, Algorithm, Grid, Direction of arrival, Compressed sensing, Real-time computing, Mathematics

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