Optimal signal processing in ground-based forward scatter micro radars

Cheng Hu*, V. Sizov, M. Antoniou, M. Gashinova, M. Cherniakov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


The received signal in forward scatter radar (FSR) depends on the target's electrical size and trajectory, which are unknown a priori. As a result, in practical situations, it is impossible to obtain the accurate reference function at the reception side, and adaptation of optimal filtering is therefore proposed for this case. This paper presents a signal processing algorithm for ground target detection using FSR, which includes the construction of the adaptive reference functions and the identification of target velocity and its observation time. Furthermore, the algorithm performance is analytically determined under practical motion trajectories such as different motion directions and baseline crossing points, which indicate the effectiveness of the proposed algorithm in a practical case for FSR. The effectiveness of the algorithm is shown using both simulated and experimental data. Finally, the resolution in convoy targets in ground-based FSR is analytically obtained for the first time; the resolution is totally different from the resolution in conventional radar theory because of the target signature characteristics in ground-based FSR. The majority of the analytical results are verified experimentally. © 2011 IEEE.

Original languageEnglish
Article number6324674
Pages (from-to)3006-3026
Number of pages21
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number4
Publication statusPublished - 22 Oct 2012


  • forward Scatter Radar
  • Matching filtering
  • Optimal signal processing


Dive into the research topics of 'Optimal signal processing in ground-based forward scatter micro radars'. Together they form a unique fingerprint.

Cite this