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 proceedingConference contribution

1 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 languageEnglish (US)
Title of host publication2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1072-1076
Number of pages5
ISBN (Print)9781509045457
DOIs
StatePublished - May 12 2017

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