International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Geometric Configuration Optimization for Baseline Interferometry

Author Affiliations

  • 1 Amirkabir University of Technology (AUT), Tehran, IRAN

Res. J. Recent Sci., Volume 2, Issue (5), Pages 78-82, May,2 (2013)


One of the necessary parts for settlement of baseline interferometric arrays which are used in radio astronomy is to design geometric configuration of the array in a way that most effective results could be achieved. In VLBI imaging the uv plane coverage is a key factor for obtaining better sampling of signals. In this paper the configuration of antenna arrays are optimized by means of PSO and its multi-population version MPSO. By presenting some simulation results, effectiveness of methods, especially for MPSO will be shown.


  1. Middelberg E. and Bach U., High resolution radio astronomy using very long baseline interferometry, Reports on Progress in Physics, 71(6), 066901 (2008)
  2. Clark B.G., An efficient implementation of the algorithm’CLEAN’, Astronomy and Astrophysics, 89(3),377- 378 (1980)
  3. Bajkova A.T., Multi-frequency synthesis of VLBI images using a generalized maximum entropy method, Astronomy reports, 52(12), 951–962 (2008)
  4. Suksmono A.B., Deconvolution of VLBI images based on compressive sensing, In Electrical Engineering and Informatics, 2009, ICEEI’09. International Conference On,, 110–116 (2009)
  5. Li F., Cornwell T.J. and De Hoog F., The application of compressive sampling to radio astronomy, Astronomy and Astrophysics, 528(A31), 1-10 (2011)
  6. Mugnier L.M., Rousset G. and Cassaing F., Aperture configuration optimality criterion for phased arrays of optical telescopes, JOSA A, 13(12), 2367–2374 (1996)
  7. Jones D.L., Geometric Configuration Constraints for Large Deep Space Network Arrays, The Interplanetary Network Progress Report, 42(157), 1-9 (2004)
  8. Cohanim B.E., Hewitt J.N. and De Weck O., The Design of Radio Telescope Array Configurations using Multiobjective Optimization: Imaging Performance versus Cable Length, The Astrophysical Journal Supplement Series, 154(2), 705 (2008)
  9. Su Y., Nan R.D., Peng B., Roddis N. and Zhou J.F., Optimization of interferometric array configurations by “sieving” u–v points. Astronomy and Astrophysics, 414(1),389–397 (2004)
  10. Jin N. and Rahmat-Samii Y., Analysis and particle swarm optimization of correlator antenna arrays for radio astronomy applications, Antennas and Propagation, IEEE Transactions on, 56(5), 1269–1279 (2008)
  11. Oliveri G., Caramanica F. and Massa A., Hybrid ADS-based techniques for radio astronomy array design, Antennas and Propagation, IEEE Transactions on, 59(6),1817–1827 (2011)
  12. Kennedy J. and Eberhart R., Particle swarm optimization. In Neural Networks, 1995, Proceedings, IEEE International Conference On,, 1942–1948 (1995)
  13. Banks A., Vincent J. and Anyakoha C., A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications, Natural Computing, 7(1), 109–124 (2008)