Sidelobe‐level suppression for linear and circular antenna arrays via the cuckoo search–chicken swarm optimisation algorithm

Abstract

An antenna array application with high directivity and low sidelobe level (SLL) is an important technology that can enhance the reliability and validity of a communication system. In recent years, swarm intelligence optimisation algorithms have been widely used in the design of antenna arrays. In this study, a hybrid heuristic swarm intelligence optimisation algorithm called cuckoo search–chicken swarm optimisation (CSCSO) is proposed to optimise the excitation amplitude of a linear antenna array (LAA) and the excitation amplitude and spacing between the array elements of a circular antenna array (CAA). The maximum SLL will be obtained while the mainlobe width is fixed. CSCSO combines cuckoo search (CS) and chicken swarm optimisation (CSO) and thus, it will have the excellent global search capability of CS as well as introduce the hierarchy mechanism of CSO to improve algorithm precision. Chaos theory is utilised to determine the initial solution of the algorithm, while Levy flight weight coefficient is used to improve the convergence rate in CSCSO. Simulation results show that CSCSO has a better performance in terms of solution accuracy and convergence rate in the radiation pattern optimisation of LAA and CAA compared with the standard CSO, CS, and particle swarm optimisation algorithms.

Review on Linear Array Antenna with Minimum Side Lobe Level Using Genetic Algorithm

“…In other words, the antenna is to direct a single beam to each user. Smart antennas direct their main lobe, with increased gain, in the direction of the user, and they direct nulls in directions away from the main lobe [2][3]. Figure 3, consist of an array of antenna elements and a smart processing of antenna signals.…”

“…The signals received by each antenna element are weighted and combined to create a beam in the direction of the mobile by utilizing signal processing signal processing algorithms [4]. These algorithms determine the uplink weight vectors for performing beam-forming on the received signals as well as the downlink weight vectors for performing beam forming on the transmitted signals [3].…”

“…Smart antennas have also adaptability to introduce new services, increased range, faster bit rate, multi use interference, space division multiplexing (SDMA), more security, reduction of errors due to multipath fading etc. Usage of the antenna arrays can improve the capacity and the spectral efficiency of a wireless communication system [3,4]. For example, the fifth generation (5G) communications adopt the millimetre wave (mmwave) and beam forming technologies based on antenna arrays, to improve the spectral efficiency and A. Side-Lobes No antenna is able to radiate all the energy in one preferred direction.…”

An Antenna Array Sidelobe Level Reduction Approach through Invasive Weed Optimization

“…With the rapid development of the communication technologies and the explosive growth of the number of users, the capacity of a communication system has bottlenecks [1]. Usage of the antenna arrays can improve the capacity and the spectral efficiency of a wireless communication system [2,3].…”

Planning Optimization of the Distributed Antenna System in High-Speed Railway Communication Network Based on Improved Cuckoo Search

“…CS can be widely used to various optimization problems [27][28][29][30][31]. With the deepening of the study of CS, the disadvantages of this algorithm gradually expose.…”