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Novel Design of Grey Wolf Optimization Heuristics for High Resolution Direction of Arrival Estimation in Acoustic Plane Waves

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Abstract

High resolution direction of arrival estimation for closely spaced target in low signal to noise ration (SNR) is an active research area in underwater acoustic and SONAR signal processing The resolution performance of classical/traditional subspace based algorithms including MUSIC and ESPRIT procedures degraded under sever scenarios of low signal to noise ratio (SNR), less number of samples/snapshots and short distant targets. In this work, optimization courage of swarming intelligence of grey wolf optimization (GWO) is carried out for viable DOA estimation in the challenging instances of worst underwater scenarios using a uniform linear array (ULA). The high resolution DOA for short distant emitters is achieved using less number of samples vitally with GWO by inspecting the global minima of the highly nonlinear objective model of ULA having multi local minimas. The performance is analyzed for different number of targets employing estimation accuracy, resolution certainty, variability analysis, frequency distribution of RMSE, robustness against different SNR of additive-white Gaussian measurement noise and comparative studies with MUSIC and Particle Swarm Optimization PSO with the validation strength of Cramer Rao bound reveals the valuation of the scheme.

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Funding

There are no relevant financial or non-financial competing interests to report.

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Authors and Affiliations

  1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China

    Nauman Ahmed, Huigang Wang & Wasiq Ali

  2. Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan, R.O.C.

    Muhammad Asif Zahoor Raja

  3. COMSATS University Islamabad, Attock Campus, Attock, Pakistan

    Muhammad Kashif

  4. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan

    Fawad Zaman

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  1. Nauman Ahmed
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  2. Huigang Wang
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  3. Muhammad Asif Zahoor Raja
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Correspondence to Huigang Wang.

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Ahmed, N., Wang, H., Raja, M.A.Z. et al. Novel Design of Grey Wolf Optimization Heuristics for High Resolution Direction of Arrival Estimation in Acoustic Plane Waves. Wireless Pers Commun 128, 2507–2529 (2023). https://doi.org/10.1007/s11277-022-10057-w

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