Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar

Hussain Ali; Sajid Ahmed; Tareq Y. Al-Naffouri; Mohamed-Slim Alouini

doi:10.1109/ICASSP.2016.7472232

Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar

Hussain Ali, Sajid Ahmed, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. © 2016 IEEE.

Original language	English (US)
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3021-3025
Number of pages	5
ISBN (Print)	9781479999880
DOIs	https://doi.org/10.1109/ICASSP.2016.7472232
State	Published - Jun 24 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): URF/1/1713-01-01
Acknowledgements: URF/1/1713-01-01, KAUST

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10.1109/ICASSP.2016.7472232

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@inproceedings{2f5e02b007944d1097a8d578d6a2942f,

title = "Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar",

abstract = "In this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. {\textcopyright} 2016 IEEE.",

author = "Hussain Ali and Sajid Ahmed and Al-Naffouri, {Tareq Y.} and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): URF/1/1713-01-01 Acknowledgements: URF/1/1713-01-01, KAUST",

year = "2016",

month = jun,

day = "24",

doi = "10.1109/ICASSP.2016.7472232",

language = "English (US)",

isbn = "9781479999880",

pages = "3021--3025",

booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar. / Ali, Hussain; Ahmed, Sajid ; Al-Naffouri, Tareq Y. et al.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 3021-3025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar

AU - Ali, Hussain

AU - Ahmed, Sajid

AU - Al-Naffouri, Tareq Y.

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): URF/1/1713-01-01 Acknowledgements: URF/1/1713-01-01, KAUST

PY - 2016/6/24

Y1 - 2016/6/24

N2 - In this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. © 2016 IEEE.

AB - In this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. © 2016 IEEE.

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UR - http://ieeexplore.ieee.org/document/7472232/

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U2 - 10.1109/ICASSP.2016.7472232

DO - 10.1109/ICASSP.2016.7472232

M3 - Conference contribution

SN - 9781479999880

SP - 3021

EP - 3025

BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar

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