Abstract:
Ultra-wideband technology has been around for so many years and has been used for a wide variety of applications is strong evidence of the viability and flexibility of the technology. Ultra-wideband is a radio technology that can be used at very low energy levels for short-range high-bandwidth communications by using a large portion of the radio spectrum. Ultra-Wideband communications systems have many traditional applications in radar imaging, target sensor data collection, precision locating and tracking applications and it has many attractive properties, including low-interference to and from other wireless systems, low-sensitivity to fading, easier-wall and floor penetration and inherent security. This thesis proposed a comparative study of direction of arrival algorithms for line-of-sight ultrawideband channels that study multiple signal classification algorithm and Capon AOA algorithm. These methods will classify noise out of received signals at antenna and choose signal that have maximum power that contains angle data and transform angle from polar form to rectangular form. The result from multiple signal classification algorithms has accuracy of direction of arrival better than Capon angle of arrival (Capon AOA) algorithm.