This paper presents the design and implementation of a novel four‐port multiple input multiple output (MIMO) antenna with reconfigurable filtering characteristics. The proposed filtering MIMO antenna is constructed using a super wideband (SWB) monopole. The feedline of the monopole radiator is integrated with a microstrip filter network. Reconfigurable filtering characteristics are realized using a feed selection network making the antenna work at two modes viz. SWB mode (2.2 to over 20 GHz) and dual narrow‐band (d‐NB) mode (2.45 and 5.8 GHz). The feed selection is accomplished using a PIN diode. An interlocked four‐port MIMO antenna is then constructed using the proposed reconfigurable filtering monopole antenna. The proposed antenna exhibits an average gain greater than 5.2 dBi in both operating modes and has total efficiency greater than 80%. The MIMO parameters such as envelope correlation coefficient (ECC), diversity gain (DG), and mean effective gain (MEG) are evaluated and presented. The prototype MIMO antenna is fabricated and the experimental results are validated in real‐time. The proposed reconfigurable MIMO antenna is suitable for wireless local area network (WLAN), Internet of things (IoT), dedicated short‐range communication (DSRC), ultra‐wideband (UWB), and SWB applications in the automotive scenario.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.