Parallel PHD Function on Target Association with Multistatic Radar System (MRS) using CUDA

Robertus Hudi, Heru Suhartanto, Jan Pidanic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Target association is one of the main process of the signal processing of the passive Multi-static Radar System (MRS) which requires a complex geometry calculation. Among advanced techniques for passive radar system's target association, several experiments have been done based on Probability Hypothetic Density (PHD) function. The complex calculation makes the computation process a very demanding task to be done, thus, this paper is focused on PHD function performance comparison between preceding attempts to the implementation using pure C programming language with CUDA library. Naive parallelization is used on mapping each matrices data to CUDA memories, for each major operation is done in parallel behavior via self-made CUDA kernels to suits the data dimensions. Results for kernels are captured with NVIDIA profiling tools for increasing number of random targets on 4 transmitter-receiver (PV) combination (without any knowledge about approximation of targets direction). All results are taken according to the average running time of kernel calls and speed up for each size of input, compared with serial and CPU parallel version data of the previous work.

Original languageEnglish
Title of host publicationProceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
ISBN (Electronic)9781728153100
DOIs
Publication statusPublished - Feb 2020
Event16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020 - Langkawi, Malaysia
Duration: 28 Feb 202029 Feb 2020

Publication series

NameProceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020

Conference

Conference16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020
CountryMalaysia
CityLangkawi
Period28/02/2029/02/20

Keywords

  • association
  • CUDA
  • GPU
  • MRS
  • PHD
  • target

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    Hudi, R., Suhartanto, H., & Pidanic, J. (2020). Parallel PHD Function on Target Association with Multistatic Radar System (MRS) using CUDA. In Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020 (pp. 69-74). [9068675] (Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA48992.2020.9068675