An Efficient Destructive Interference Based on Side Lobe Suppression Method in SONAR Beamforming

Authors

  • Vijayan Pillai S Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence
  • Santhanakrishnan T Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence 0000-0003-1583-9530
  • Rajesh R Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence

DOI:

https://doi.org/10.3849/aimt.01429

Abstract

A novel beamforming technique that resembles the principle of interference is proposed for sonar arrays to suppress the side lobes while the main lobe is kept intact. It uses two window functions. The first one is a rectangular function that produces a primary beam pattern. A secondary new window function is derived and its beam pattern is steered such that the null or trough of the main lobe of the new window coincides with the peak or crest of the first side lobe of the rectangular window and so on to other major side lobes. Pattern multiplication was used to get a final beam pattern. The approach is simulated and verified through a sonar array with 24 hydrophone sensors.

Author Biographies

Vijayan Pillai S, Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence

Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence, Government of India Thrikkakara P.O. Kochi-682021. Scientist-H, DIRECTOR

Santhanakrishnan T, Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence

Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence, Government of India Thrikkakara P.O. Kochi-682021 Kerala, India. Scientist-F

Rajesh R, Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence

Naval Physical and Oceanographic Laboratory Defence Research and Development Organisation Ministry of Defence, Government of India Thrikkakara P.O. Kochi-682021. Scientist-F

References

ZIOMEK, L.J. An Introduction to Sonar Systems Engineering. New York: CRC Press, 2017. ISBN 978-1-49-877872-5.

BUTLER, J.L. and C.H. SHERMAN. Transducers and Arrays for Underwater Sound (Modern Acoustics and Signal Processing). 2nd ed. London: Springer, 2016. ISBN 978-3-31-939044-4.

LURTON, X. An Introduction to Underwater Acoustics: Principles and Applica-tions. 2nd ed. London: Springer, 2010. ISBN 978-3-54-078480-7.

BALANIS, C.A. Antenna Theory: Analysis and Design. 4th ed. Hoboken: Wiley, 2005. ISBN 978-1-11-864206-1.

VESA, A. and A. IOZSA. Direction-of-Arrival Estimation for Uniform Sensor Ar-rays. In: Proceedings of the 9th International Symposium on Electronics and Tele-communications. Timisoara: IEEE, 2010, pp. 249-252. DOI 10.1109/ISETC.2010.5679326.

WAITE, A.D. Sonar for Practising Engineers. 3rd ed. New York: Wiley, 2002. ISBN 978-0-47-149750-9.

YANG, S., Y.B. GAN and A. QING. Sideband Suppression in Time-Modulated Linear Arrays by the Differential Evolution Algorithm. IEEE Antennas and Wire-less Propagation Letters, 2002, 1(1), pp. 173-175. DOI 10.1109/lawp.2002.807789.

AKSOY, E. and E. AFACAN. Thinned Non-Uniform Amplitude Time-Modulated Linear Arrays. IEEE Antennas and Wireless Propagation Letters, 2010, 9, pp. 514-517. DOI 10.1109/lawp.2010.2051312.

ZHU, Q., S. YANG, L. ZHENG and Z. NIE. Design of a Low Side Lobe Time Mod-ulated Linear Array with Uniform Amplitude and Sub-Sectional Optimized Time Steps. IEEE Transactions on Antennas Propagation, 2012, 60(9), pp. 4436-4439. DOI 10.1109/tap.2012.2207082.

MANDAL, S.K., G.K. MAHANTI and R. GHATAK. Differential Evolution Algo-rithm for Optimizing the Conflicting Parameters in Time-Modulated Linear Array Antennas. Progress in Electromagnetics Research B, 2013, 51, pp. 101-118. DOI 10.2528/pierb13022710.

GOSWAMI, B. and D. MANDAL. A Genetic Algorithm for the Level Control of Nulls and Side Lobes in Linear Antenna Arrays. Journal of King Saud University – Computer and Information Sciences, 2013, 25(2), pp. 117-126. DOI 10.1016/j.jksuci.2012.06.001.

FREETHY, S.J., V.F. SHEVCHENKO and R.G.L. VANN. Optimization of Wide Field Interferometric Arrays via Simulated Annealing of a Beam Efficiency Func-tion. IEEE Transactions on Antennas and Propagation, 2012, 60(11), pp. 5442-5446. DOI 10.1109/tap.2012.2207936.

ZANGENE, A., H.R. DALILI OSKOUEI and M. NOURHOSEINI. Reduction of Side Lobe Level in Non-Uniform Circular Antenna Arrays Using the Simulated Annealing Algorithm. Journal of Electrical and Electronics Engineering Re-search, 2014, 6(2), pp. 6-12. DOI 10.5897/jeeer2014.0504.

ROBINSON, J. and Y. RAHMAT-SAMII. Particle Swarm Optimization in Elec-tromagnetics. IEEE Transactions on Antennas and Propagation, 2004, 52(2), pp. 397-407. DOI 10.1109/tap.2004.823969.

KHODIER, M.M. and C.G. CHRISTODOULOU. Linear Array Geometry Synthesis with Minimum Side Lobe Level and Null Control Using Particle Swarm Optimiza-tion. IEEE Transactions on Antennas and Propagation, 2005, 53(8), pp. 2674-2679. DOI 10.1109/tap.2005.851762.

LIANG, L., J. SUN, H. LI, J. LIU, Y. JIANG and J. ZHOU. Research on Side Lobe Suppression of Time-Modulated Sparse Linear Array Based on Particle Swarm Optimization. International Journal of Antennas and Propagation, 2019, 2019, 7130106. DOI 10.1155/2019/7130106.

YANG, X.S. and S. DEB. Multi-objective Cuckoo Search for Design Optimization. Computers & Operations Research, 2013, 40(6), pp. 1616-1624. DOI 10.1016/j.cor.2011.09.026.

ONG, P. Adaptive Cuckoo Search Algorithm for Unconstrained Optimization. The Scientific World Journal, 2014, 2014, 943403. DOI 10.1155/2014/943403.

GHAYOULA, R., N. FADLALLAH, A. GHARSALLAH and M. RAMMAL. Design, Modelling, and Synthesis of Radiation Pattern of Intelligent Antenna by Artificial Neural Networks. ACES Journal, 2008, 23(4), pp. 336-344. ISSN 1054-4887.

ZAHARIS, Z.D., K.A. GOTSIS and J.N. SAHALOS. Adaptive Beamforming with Low Side Lobe Level Using Neural Networks Trained by Mutated Boolean PSO. Progress in Electromagnetics Research, 2012, 127, pp. 139-154. DOI 10.2528/pier12022806.

DOLPH, C.L. A Current Distribution for Broadside Arrays Which Optimizes the Relationship between Beam, Width and Side-Lobe Level. Proceedings of the IRE, 1946, 34(6), pp. 335-348. DOI 10.1109/jrproc.1946.225956.

NUTTALL, A.H. Generation of Dolph-Chebyshev Weights Via a Fast Fourier Transform. Proceedings of the IEEE, 1974, 62(10), pp. 1396-1396. DOI 10.1109/proc.1974.9634.

ZIELINSKI, A. An Efficient Method of Dolph-Chebyshev Beamforming. In: H.M. MERKLINGER, ed. Progress in Underwater Acoustics. Boston: Springer, 1987, pp. 759-764. ISBN 978-1-46-129043-8.

MOHAN, K.N., D. KANNADASSAN and S.R. ZINKA. Design and Implementation of Dolph Chebyshev and Zolotarev Circular Antenna Array. Indian Journal of Science and Technology, 2016, 9(36), pp. 1-9. DOI 10.17485/ijst/2016/v9i36/102137.

BLONDEL, P. The Handbook of Sidescan Sonar. New York: Springer, 2009. ISBN 978-3-54-042641-7.

POULARIKAS, A.D. The Handbook of Formulas and Tables for Signal Pro-cessing. Heidelberg: Springer, 1999. ISBN 978-3-54-064834-5.

URICK, R.J. Principles of Underwater Sound. 3rd ed. New York: McGraw-Hill, 1983. ISBN 978-0-07-066087-8.

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Published

16-04-2021

How to Cite

S, V. P., T, S., & R, R. (2021). An Efficient Destructive Interference Based on Side Lobe Suppression Method in SONAR Beamforming. Advances in Military Technology, 16(1), 107–120. https://doi.org/10.3849/aimt.01429

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