A Review on Poly-Phase Coded Waveforms for MIMO Radar with Increased Orthogonality

Pooja Bhamre; S. Gupta

Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings

Research Article

A Review on Poly-Phase Coded Waveforms for MIMO Radar with Increased Orthogonality

Download

347 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-73712-6_24,
    author={Pooja Bhamre and S. Gupta},
    title={A Review on Poly-Phase Coded Waveforms for MIMO Radar with Increased Orthogonality},
    proceedings={Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings},
    proceedings_a={ICFITT},
    year={2018},
    month={2},
    keywords={MIMO radar Optimization Polyphase waveform},
    doi={10.1007/978-3-319-73712-6_24}
}

Pooja Bhamre
S. Gupta
Year: 2018
A Review on Poly-Phase Coded Waveforms for MIMO Radar with Increased Orthogonality
ICFITT
Springer
DOI: 10.1007/978-3-319-73712-6_24

Pooja Bhamre¹^,*, S. Gupta¹^,*

1: ECED, SVNIT

*Contact email: poojamkhairnar@gmail.com, sgupta@eced.svnit.ac.in

Abstract

Multiple input multiple output (MIMO) radar efficiently works with orthogonal signals. Designing of these orthogonal signals affect radar parameters such as range resolution, angle resolution, doppler resolution etc. The paper represents survey of various optimization algorithms used for designing polyphase waveforms. Autocorrelation main lobe width and side lobe peak influence the pulse compression goodness of a code. Autocorrelation side lobe peak(ASP) and cross correlation peak(CP) parameters of code sets are compared.

Keywords: MIMO radar Optimization Polyphase waveform

Published: 2018-02-01
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73712-6_24

A Review on Poly-Phase Coded Waveforms for MIMO Radar with Increased Orthogonality

Abstract

About EAI

Community

Publish with EAI