A small vessel detection using a co-located multi-frequency FMCW MIMO radar

Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. Th...

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Bibliographic Details
Published in:International Journal of Electrical and Computer Engineering
Main Author: Zainuddin S.; Rashid N.E.A.; Pasya I.; Abdullah R.S.A.R.; Cengiz K.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111134977&doi=10.11591%2fijece.v11i6.pp5144-5152&partnerID=40&md5=eb359a0501c7462d95e59df5480186f8
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Summary:Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. The paper presented a co-located frequency modulated continuous waveform (FMCW) maritime radar for small vessel detection utilising a multiple-input multiple-output (MIMO) configuration. The radar behaviour is numerically simulated for detecting a Swerling 1 target which resembles small maritime's vessels. The simulated MIMO configuration comprised two transmitting and receiving nodes. The proposal is to utilize a multi-frequency FMCW MIMO configuration in a maritime environment by applying the spectrum averaging (SA) to fuse MIMO received signals for range and velocity estimation. The analysis was summarised and displayed in terms of estimation error performance, probability of error and average error. The simulation outcomes an improvement of 2.2 dB for a static target, and 0.1 dB for a moving target, in resulting the 20% probability of range error with the MIMO setup. A moving vessel's effect was observed to degrade the range error estimation performance between 0.6 to 2.7 dB. Meanwhile, the proposed method was proven to improve the 20% probability of velocity error by 1.75 dB. The impact of multi-frequency MIMO was also observed to produce better average error performance. © 2021 Institute of Advanced Engineering and Science. All rights reserved.
ISSN:20888708
DOI:10.11591/ijece.v11i6.pp5144-5152