Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW

Sajid Ahmed; Seifallah Jardak; Mohamed-Slim Alouini

doi:10.1109/GlobalSIP.2016.7906007

Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW

Sajid Ahmed, Seifallah Jardak, Mohamed-Slim Alouini

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

2 Scopus citations

Abstract

The estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.

Original language	English (US)
Title of host publication	2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1072-1076
Number of pages	5
ISBN (Print)	9781509045457
DOIs	https://doi.org/10.1109/GlobalSIP.2016.7906007
State	Published - May 12 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).

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10.1109/GlobalSIP.2016.7906007

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title = "Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW",

abstract = "The estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.",

author = "Sajid Ahmed and Seifallah Jardak and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).",

year = "2017",

month = may,

day = "12",

doi = "10.1109/GlobalSIP.2016.7906007",

language = "English (US)",

isbn = "9781509045457",

pages = "1072--1076",

booktitle = "2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)",

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

}

Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW. / Ahmed, Sajid; Jardak, Seifallah; Alouini, Mohamed-Slim.
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1072-1076.

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

TY - GEN

T1 - Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW

AU - Ahmed, Sajid

AU - Jardak, Seifallah

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).

PY - 2017/5/12

Y1 - 2017/5/12

N2 - The estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.

AB - The estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.

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DO - 10.1109/GlobalSIP.2016.7906007

M3 - Conference contribution

SN - 9781509045457

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EP - 1076

BT - 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW

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