Abstract
AbstractDevelopment of beamforming methods for towed sonar multiplet line arrays is stimulated by their increased use in undersea surveillance. Such methods employ various forms of narrowband optimal beamforming to resolve port/starboard ambiguity present when the array is conventionally beamformed. In this paper, we depart from the purely narrowband approach and discuss methods for port/starboard ambiguity rejection (PSAR) using a broadband formulation. The proposed methodology relies on subband beamforming for which we use non-adaptive variants of beamspace Minimum Variance Distortionless Response (MVDR) and the Linear Constraint Minimum Variance (LCMV) beamformers. We provide detailed description and comparison of both subband methods and establish a connection between them. The paper provides assessment of PSAR properties of the developed broadband beamformers using outputs of signal processing of both simulated and experimental sonar data. Experimental data for this work were obtained through the participation in the Littoral Continuous Active Sonar (LCAS) trials.
Funder
Defence Science and Technology Group
Publisher
Springer Science and Business Media LLC
Reference11 articles.
1. D.T. Hughes, Aspects of cardioid processing. SACLANTCEN report SR-329, SACLANT Undersea Research Centre, La Spezia, Italy (2000)
2. J. Groen, S.P. Beerens, R. Been, Y. Doisy, E. Noutary, Adaptive port-starboard beamforming of triplet sonar arrays. IEEE J. Ocean. Eng. 30(2), 348–359 (2005). https://doi.org/10.1109/JOE.2005.850880
3. P. Stinco, A. Tesei, A. Maguer, F. Ferraioli, V. Latini, L. Pesa, Sub-bands beam-space adaptive beamformer for port-starboard rejection in triplet sonar arrays, in 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (2018), pp. 236–240. https://doi.org/10.1109/GlobalSIP.2018.8645970
4. G. Canepa, A. Tesei, L. Troiano, S. Biagini, F. Aglietti, R. Dymond, M. Mazzi, A. Vermeij, V. Grandi, Comparison of computation time and accuracy of the real time implementation of two beamforming algorithms, in Underwater Acoustics Conference and Exhibition 2017 (UACE 2017) (2017), pp. 121–128
5. S. Simakov, Z.Y. Zhang, R.P. Goddard, Optimal beamforming on synthetic interference and noise for active processing of multiplet line arrays, in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015), pp. 2519–2523. https://doi.org/10.1109/ICASSP.2015.7178425