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.
UR - http://hdl.handle.net/10754/625013
UR - http://ieeexplore.ieee.org/document/7906007/
UR - http://www.scopus.com/inward/record.url?scp=85019254570&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2016.7906007
DO - 10.1109/GlobalSIP.2016.7906007
M3 - Conference contribution
SN - 9781509045457
SP - 1072
EP - 1076
BT - 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -