Spectral estimator effects on accuracy of speed-over-ground radar

• Published in: International Journal of Electrical and Computer Engineering
• Main Author: Mohd Shariff K.K.; Zainuddin S.; Abdul Aziz N.H.; Abd Rashid N.E.; Zalina Zakaria N.A.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129636614&doi=10.11591%2fijece.v12i4.pp3900-3910&partnerID=40&md5=cc14a980302a4c1aa0179acdce890d4b

Spectral estimation is a critical signal processing step in speed-over-ground (SoG) radar. It is argued that, for accurate speed estimation, spectral estimation should use low bias and variance estimator. However, there is no evaluation on spectral estimation techniques in terms of estimating mean Doppler frequency to date. In this paper, we evaluate two common spectral estimation techniques, namely periodogram based on Fourier transformation and the autoregressive (AR) based on burg algorithm. These spectral estimators are evaluated in terms of their bias and variance in estimating a mean frequency. For this purpose, the spectral estimators are evaluated with different Doppler signals that varied in mean frequency and signal-to-noise ratio (SNR). Results in this study indicates that the periodogram method performs well in most of the tests while the AR method did not perform as well as these but offered a slight improvement over the periodogram in terms of variance. © 2022 Institute of Advanced Engineering and Science. All rights reserved.