Convolutional Neural Networks (CNN) have high performance in the fields of object recognition and classification. The strength of CNNs comes from the fact that they are able to extract information from raw-pixel content and learn features automatically. Feature extraction and classification algorithms can be either hand-crafted or Deep Learning (DL) based. DL detection approaches can be either two stages (region proposal approaches) detector or a single stage (non-region proposal approach) detector. Region proposal-based techniques include R-CNN, Fast RCNN, and Faster RCNN. Non-region proposal-based techniques include Single Shot Detector (SSD) and You Only Look Once (YOLO). We are going to compare the speed and accuracy of Faster RCNN, YOLO, and SSD for effective drone detection in various environments. We have found that both Faster RCNN and YOLO have high recognition ability compared to SSD; on the other hand, SSD has good detection ability.
Software-Defined Radio (SDR) approaches for rapid prototyping of radio systems using reconfigurable hardware platforms offer significant advantages over traditional analog and hardwarecentered methods. In particular, time and cost savings can be achieved by reusing tested design artefacts; this translates to supporting various features and functionalities, such as updating and upgrading through reprogramming, without the need to replace the hardware on which they are implemented. This opens the doors to the possibility of realizing multi-band and multi-functional wireless devices. Progress in the SDR field has led to the escalation of protocol development and a wide spectrum of applications, with more emphasis on programmability, flexibility, portability, and energy efficiency, in Mobile technology, Wi-Fi, and M2M communication. Consequently, SDR has earned a lot of attention and great significance to both academia and industry. SDR designers intend to simplify the realization of communication protocols while enabling researchers to experiment with prototypes on deployed networks. This Research is a survey of the state-of-the art SDR platforms and development tools in the context of wireless communication which presented an overview of SDR architecture and its basic components; and discussed the significant design trends and development tools. In addition, we reviewed available SDR platforms with an analytical comparison based on a set of metrics as a guide to developers. Finally, we offered some predictable future Directions for SDR Researches
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.