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Title: Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation

Abstract

Here we analyze the performance of a wideband orthogonal frequency division multiplexing (OFDM) signal in estimating the micro-Doppler frequency of a rotating target having multiple scattering centers. The use of a frequency-diverse OFDM signal enables us to independently analyze the micro-Doppler characteristics with respect to a set of orthogonal subcarrier frequencies. We characterize the accuracy of micro-Doppler frequency estimation by computing the Cramer-Rao bound (CRB) on the angular-velocity estimate of the target. Additionally, to improve the accuracy of the estimation procedure, we formulate and solve an optimization problem by minimizing the CRB on the angular-velocity estimate with respect to the OFDM spectral coefficients. We present several numerical examples to demonstrate the CRB variations with respect to the signal-to-noise ratios, number of temporal samples, and number of OFDM subcarriers. We also analysed numerically the improvement in estimation accuracy due to the adaptive waveform design. A grid-based maximum likelihood estimation technique is applied to evaluate the corresponding mean-squared error performance.

Authors:
 [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Engineering Science Advanced Research, Computer Science and Mathematics Division
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1185519
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article
Journal Name:
IEEE Sensors Journal
Additional Journal Information:
Journal Volume: 14; Journal Issue: 10; Journal ID: ISSN 1530-437X
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; OFDM radar; waveform design; micro-Doppler frequency; Cram r Rao bound; maximum likelihood estimate

Citation Formats

Sen, Satyabrata. Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation. United States: N. p., 2014. Web. doi:10.1109/JSEN.2014.2328325.
Sen, Satyabrata. Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation. United States. https://doi.org/10.1109/JSEN.2014.2328325
Sen, Satyabrata. 2014. "Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation". United States. https://doi.org/10.1109/JSEN.2014.2328325.
@article{osti_1185519,
title = {Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation},
author = {Sen, Satyabrata},
abstractNote = {Here we analyze the performance of a wideband orthogonal frequency division multiplexing (OFDM) signal in estimating the micro-Doppler frequency of a rotating target having multiple scattering centers. The use of a frequency-diverse OFDM signal enables us to independently analyze the micro-Doppler characteristics with respect to a set of orthogonal subcarrier frequencies. We characterize the accuracy of micro-Doppler frequency estimation by computing the Cramer-Rao bound (CRB) on the angular-velocity estimate of the target. Additionally, to improve the accuracy of the estimation procedure, we formulate and solve an optimization problem by minimizing the CRB on the angular-velocity estimate with respect to the OFDM spectral coefficients. We present several numerical examples to demonstrate the CRB variations with respect to the signal-to-noise ratios, number of temporal samples, and number of OFDM subcarriers. We also analysed numerically the improvement in estimation accuracy due to the adaptive waveform design. A grid-based maximum likelihood estimation technique is applied to evaluate the corresponding mean-squared error performance.},
doi = {10.1109/JSEN.2014.2328325},
url = {https://www.osti.gov/biblio/1185519}, journal = {IEEE Sensors Journal},
issn = {1530-437X},
number = 10,
volume = 14,
place = {United States},
year = {Tue Jul 01 00:00:00 EDT 2014},
month = {Tue Jul 01 00:00:00 EDT 2014}
}