MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202631025179 A) filed by Ravi Kumar Burman; Pankaj Kumar; Md Shoaib Alam; Jeevitesh Ranjan; Vijay Kumar Mehta; Abhishek Kumar; Shweta Bharti; and Anshu Kumari, Ranchi, Jharkhand, on March 3, for 'multi-objective optimization framework for sparse circular antenna array synthesis.'
Inventor(s) include Ravi Kumar Burman; Pankaj Kumar; Md Shoaib Alam; Jeevitesh Ranjan; Vijay Kumar Mehta; Abhishek Kumar; Shweta Bharti; and Anshu Kumari.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "Sparse synthesis can diminish the maximum sidelobe level (SLL) and the overhead of the concentric circular antenna array (CCAA) by deactivating certain array elements. Nonetheless, prior studies have not addressed the equilibrium between the quantity of activated CCAA elements and the minimization of the maximum SLL, nor have they simultaneously optimized the excitation current weights of array elements to further mitigate the maximum SLL. This study tackles these problems by constructing a hybrid multi-objective optimization problem (MOP) that incorporates both discrete and continuous solutions. This research offers a hybrid particle swarm optimization (PSO) technique that merges quantum-behavior processes with genetic mutation to effectively tackle the issues of aperture design, element spacing optimization, and sidelobe suppression in sparse radar array antennas. The technique improves global search capabilities by introducing a quantum potential well model and combining adaptive mutation operations to avert premature convergence, therefore enhancing optimization accuracy in subsequent rounds."
Disclaimer: Curated by HT Syndication.
