Abstract
In the Present Scenario, a message can be transmitted to the user, if the signal in which it contains must be efficient and accurate. There are many parameters like noise signals and unknown signals etc, which shows great impact on signal efficiency and its range. The removal of unknown signals is the primary objective in order to prevent loss of information from the signal. Unknown signals which causes disturbances in effective signal transmission are detected and its energy efficiency is compared before and after removal of unknown signals. This Research Paper mainly uses a Improved Energy Detector which consists of Cognitive nodes which helps the identification of unknown signals by applying various variations (i.e fading environment). Each nodes are subjected with some number of antennas. Probability functions are used to detect the false probability alarm signals which causes interrupts in the signal. Analysis of overall channel is done throughout the process of detecting and removing of unknown signals.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Engineering Applied Sciences and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
