Analysis of interference immunity of the searchless method of correlation-interferometric direction finding with recostruction of the spatial analytical signal

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.96653

Keywords:

analysis of noise immunity, searchless digital method, correlation-interferometric direction finding, spatial analytical signal

Abstract

An analysis of noise immunity of the searchless digital method of correlation-interferometric direction finding with reconstruction of the spatial analytical signal has been carried out. An analytical estimate of the direction finding error variance consisting of the noise and interference components was obtained. It was shown that the main controllable factors affecting the noise component of the direction finding error variance are as follows: the number of direction-finding channels, the amount of separation between the selected elements of the antenna array, the type of the weight function in spatial spectral analysis and the time of emission analysis. The interference component of the direction finding error variance, unlike the noise component, does not depend on the analysis time but is determined, first of all, by the quality of frequency-spatial selection.

In simulation, a family of dependencies of the root mean square deviation of the bearing estimate on the signal-to-noise ratio and the type of the weight function of the spectral analysis window was obtained. Possibility of direction finding with a value of the root mean square deviation of the bearing estimate of 0.03 degrees at an input signal-to-noise ratio of 0 dB has been shown. The estimates of the direction finding error variance obtained analytically and by software simulation practically coincided which confirms the analysis correctness. As a result of simulation, a family of dependences of root-mean square deviation of the bearing estimation on the separation of direction to the signal and interference sources at different signal frequencies was also obtained.

It was determined that when the 64-element linear array is used, the resolution of the direction finder depends on the signal frequency. It varies between 6–15 degrees in the range of the direction finder operating frequencies at a signal/interference ratio of 0 dB. The resolution of the direction finder which was found to be high compared to the annular antenna array is an important advantage in conditions of a complex electromagnetic situation.

Author Biography

Vitaliy Tsyporenko, Zhytomyr State Technological University Cherniakhovskoho str., 103, Zhytomyt, Ukraine, 10005

PhD, Associate Professor

Department of radio engineering, electronic devices and telecommunications

References

  1. Kratschmer, G. (2011). Introduction into Theory of Direction Finding. Radiomonitoring and Radiolocation 2010/2011. Rohde & Schwarz GmbH & Co., 49.
  2. Rembovskiy, А. М., Ashyhmin, А. V., Kuzmin, V. А.; Rembovskiy, А. М. (Ed.) (2010). Radiomonitiring – tasks, methods, devices. Мoscow: Hotline – Telecom, 624.
  3. Rangarao, K. V., Venkatanarasimhan, S. (2013). Gold-MUSIC: A Variation on MUSIC to Accurately Determine Peaks of the Spectrum. IEEE Transactions on Antennas and Propagation, 61 (4), 2263–2268. doi: 10.1109/tap.2012.2232893
  4. Fu, X., Sidiropoulos, N. D., Ma, W.-K., Tranter, J. (2014). Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi: 10.1109/icassp.2014.6855108
  5. Sorochan, A. G. (2013). Correlation direction finder with two OMNI-directional antennas. Microwave and Telecommunication Technology (CriMiCo), 2013: 23rd International Crimean Conference, 298–299.
  6. Tsyporenko, V. V., Tsyporenko, V. G. (2016). Research of Direct Digital Correlative-Interferometric Radio Direction Finder with Double Correlation-convolutional Processing. Visn. NTUU KPI. Ser. Radioteh. radioaparatobuduv, 65, 51–61.
  7. Lee, J.-H., Woo, J.-M. (2015). Interferometer direction-finding system with improved DF accuracy using two different array configurations. IEEE Antennas and Wireless Propagation Letters, 14, 719–722. doi: 10.1109/lawp.2014.2377291
  8. Yang, J., Chen, W., Li, L., Ni, X. (2014). Long baseline direction finding and localization algorithms for noise radiation source. 2014 12th International Conference on Signal Processing (ICSP). doi: 10.1109/icosp.2014.7014968
  9. Voskresenskiy, D. I., Ovchinnikova, E. V., Kondratieva, S. G., Shmachilin, P. A. (2012). Digital beam forming by means of matrix Fourier transform method. Proceedings of the 22nd International Crimean Conference on Microwave and Telecommunication Technology (CriMiCo), 455–456.
  10. Tsyporenko, V. V. (2012). Direct Digital Method of the Correlation-interferometric Radio Direction-finding with Reconstructing of Spatial Analytical Signal. Visnyk of NTUU „KPI”. Ser. Radioengeneering. Radiodevices construction, 48, 75–84.
  11. Karavaev, V. V., Sazonov, V. V. (1987). Statistical theory of passive location. Мoscow: Radio and Communications, 240.
  12. Lawrence, M. J. (1987). Digital Spectral Analysis: With Applications. New Jersey: Prentice-Hall, Inc. Upper Saddle River, 492.
  13. Proakis, J. G., Manolakis, D. G. (2006). Digital Signal Processing. New Jersey: Prentice-Hall, Inc. Upper Saddle River, 1004.

Downloads

Published

2017-04-21

How to Cite

Tsyporenko, V. (2017). Analysis of interference immunity of the searchless method of correlation-interferometric direction finding with recostruction of the spatial analytical signal. Eastern-European Journal of Enterprise Technologies, 2(9 (86), 45–52. https://doi.org/10.15587/1729-4061.2017.96653

Issue

Section

Information and controlling system