Waveform covariance matrix design for robust signal-dependent interference suppression in colocated MIMO radars

In multiple-input multiple-output (MIMO) radars, interference can be properly suppressed by designing transmit waveforms. However, having an error in initial estimation of interferers’ locations can result in degradation of signal-to-interference-plus-noise ratio (SINR), significantly. In this paper...

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Published inSignal processing Vol. 152; pp. 311 - 319
Main Authors Bolhasani, Mostafa, Mehrshahi, Esfandiar, Ghorashi, Seyed Ali
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2018
Subjects
Online AccessGet full text
ISSN0165-1684
1872-7557
DOI10.1016/j.sigpro.2018.06.007

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Abstract In multiple-input multiple-output (MIMO) radars, interference can be properly suppressed by designing transmit waveforms. However, having an error in initial estimation of interferers’ locations can result in degradation of signal-to-interference-plus-noise ratio (SINR), significantly. In this paper we consider the problem of robust interference suppression and SINR increment in collocated MIMO radars, in the presence of signal-dependent interference resources. We propose an efficient method to generate transmit waveform covariance matrix with the following properties: (a) robustness in interference suppression, (b) high SINR at the receiver, c) using the same power level for all transmit antennas and (d) suitable for generating BPSK waveforms in a closed-form. We solve the resulted optimization problems with numerical approaches in a short period of time. The proposed covariance matrix, by exploiting the correlated MIMO radar concept and a technique we use in the transmitter, yields to a better SINR level compared to conventional MIMO radars, phased array method and the recent introduced schemes. Simulation results validate our claims and show the advantages of our work .
AbstractList In multiple-input multiple-output (MIMO) radars, interference can be properly suppressed by designing transmit waveforms. However, having an error in initial estimation of interferers’ locations can result in degradation of signal-to-interference-plus-noise ratio (SINR), significantly. In this paper we consider the problem of robust interference suppression and SINR increment in collocated MIMO radars, in the presence of signal-dependent interference resources. We propose an efficient method to generate transmit waveform covariance matrix with the following properties: (a) robustness in interference suppression, (b) high SINR at the receiver, c) using the same power level for all transmit antennas and (d) suitable for generating BPSK waveforms in a closed-form. We solve the resulted optimization problems with numerical approaches in a short period of time. The proposed covariance matrix, by exploiting the correlated MIMO radar concept and a technique we use in the transmitter, yields to a better SINR level compared to conventional MIMO radars, phased array method and the recent introduced schemes. Simulation results validate our claims and show the advantages of our work .
Author Ghorashi, Seyed Ali
Bolhasani, Mostafa
Mehrshahi, Esfandiar
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Keywords Interference suppression
Covariance matrix design
Convex optimization
Multiple-input multiple-output (MIMO) radar
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Snippet In multiple-input multiple-output (MIMO) radars, interference can be properly suppressed by designing transmit waveforms. However, having an error in initial...
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elsevier
SourceType Enrichment Source
Index Database
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StartPage 311
SubjectTerms Convex optimization
Covariance matrix design
Interference suppression
Multiple-input multiple-output (MIMO) radar
Title Waveform covariance matrix design for robust signal-dependent interference suppression in colocated MIMO radars
URI https://dx.doi.org/10.1016/j.sigpro.2018.06.007
Volume 152
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