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Novel Computational Heuristics for Wireless Parameters Estimation in Bistatic Radar systems

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Abstract

Research in the field of bistatic radars have growing interest with exclusive importance in defence sector, aerospace industry, remote sensing, meteorological and navigation applications. In this work, joint wireless parameters of electromagnetic plane waves impinging on the receiver of bistatic radar are estimated by exploiting the efficacy of bio-inspired heuristics through backtracking search optimization algorithm (BSA). The wireless parameters, the amplitude, elevation and azimuth angles, are estimated form the data received on 1-L and 2-L structured antenna arrays deployed on the receiver of bistatic radar. Mean square error is a performance metric incorporated for fitness evaluation, constructed on the basis of difference between the desired and actual responses of the system. Monte Carlo simulations of the meta-heuristic algorithm BSA are performed for 1-L as well as 2-L structured antenna arrays to validate and verify the worth of the scheme in terms of estimation accuracy, reliability, robustness and proximity effect. Comparative study of BSA with state of art counterparts further demonstrate its effectiveness.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

    Fawad Zaman, Ali Hassan, Ata ur Rehman & Muhammad Asif Zahoor Raja

  2. Department of Electronics, University of Peshawar, Peshawar, Pakistan

    Sadiq Akbar

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  1. Fawad Zaman
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  2. Ali Hassan
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  3. Sadiq Akbar
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  5. Muhammad Asif Zahoor Raja
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Correspondence to Muhammad Asif Zahoor Raja.

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Zaman, F., Hassan, A., Akbar, S. et al. Novel Computational Heuristics for Wireless Parameters Estimation in Bistatic Radar systems. Wireless Pers Commun 111, 909–927 (2020). https://doi.org/10.1007/s11277-019-06892-z

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