000			02814nam a22001817a 4500
003			NUST
040			_a0
082			_a621.382,RAS
100			_aRasheed, Danish _9118093
245			_aAutomatic Detection and Classification of RF Signals / _cCapt Danish Rasheed, Capt Muhammad Usama Khan, Capt Hammad Arshad, Capt Asad Ali. (BETE-56)
264			_aMCS, NUST _bRawalpindi _c 2023
300			_a46 p
505			_aElectronic Warfare is one of the major deciding factors in the success of conventional and unconventional warfare. As RF technology is advancing with a very high pace, the conventional Electronic Warfare equipment are getting obsolete along with. Pakistan Army has indoctrinated a large quantity of Electronic Warfare equipment and still more is required to compete current requirement, owing to high tension scenario at borders and operational areas. This high-cost equipment are prone to frequent upgradation and maintenance as well as being highly resource dependent. Considering above mentioned issues related to the EW equipment that Pak Army is using, they are seldom utilized for difficult terrains and border areas and are to be kept as reserve for conventional warfare. Automatic detection and classification of radio frequency (RF) signals is a critical task in modern communication systems. [1] With the increasing complexity of wireless communication systems and the growing demand for spectrum usage, it has become increasingly important to develop efficient and effective methods for detecting and classifying RF signals. This paper presents a novel approach for automatic detection of RF signals based on GNU radio software. The proposed method uses a combination of feature extraction and classification techniques to identify different types of RF signals. [1] GNU Radio is an open-source software-defined radio framework that is used to develop signal processing applications. It provides a range of signal processing blocks that can be used to build signal processing pipelines. These blocks are used to perform a variety of signal processing tasks, including filtering, modulation, demodulation, and decoding. To implement automatic detection and classification of RF signals using GNU Radio, one can use the software to build a signal processing pipeline that includes blocks for signal acquisition, feature extraction, and classification. The signal acquisition block can be used to capture RF signals from a radio receiver, while the feature extraction block can be used to extract relevant features from the captured signals. These features can include signal frequencies, bandwidth, modulation type and other relevant parameters.
650			_aUG EE Project _9118090
690			_aBETE-56 _9118080
700			_aSupervisor Dr. Mehmood Alam _9118092
942			_2ddc _cTHE
999			_c603133 _d603133