Development of Interference Mitigation Schemes in 4G Technology Using Smart Antennas

With the increase in demand of mobile users and high speed data requirements, the world is now migrating towards 4G. this has led to increase in Co-Channel interference and multipath in urban/dense urban environment by which the network capacity has been reduced. Hence there is a necessity of developing new schemes and methods which can optimally exploit the limited resources and minimize the interference for higher user capacity and qualitative wireless communication. Smart Antenna has now come to the rescue of the changing trends in wireless communication. It efficiently reduces the effect of CCI and Multipath by adapting the antenna pattern to track and locate the desired user while eliminating the undesired ones. So this project aims in modelling, analysis and simulation of an efficient smart antenna system by studying and comparing various weight updating algorithms of Direction of Arrival (DOA) like MUSIC algorithm and ESPRIT algorithm and adaptive beam forming algorithms like Least Mean Square algorithm, Sample Matrix Inversion algorithm and Conjugate Gradient Method Algorithm choosing the most efficient ones for the system desig

Unbalanced Distribution Network Cross-Country Fault Diagnosis Method with Emphasis on High-Impedance Fault Syndrome

Unusual fault scenarios can occur on the utility grid in a power system network. Cross-Country Faults (CCFs) connected to the High-Impedance Fault (HIF) syndrome are more prone to occur in forested areas due to thunderstorms, cyclones, and improper vegetation management and tree pruning. Finding and categorizing CCFs associated with HIF syndrome is a great challenge. This study employed the cross-correlation method to reconstruct the signals produced by CCFs with HIF, which were shown to be complicated, aperiodic, asymmetric, and nonlinear. A decreased sensitivity to random noise means that a given modification might not affect equally all component peaks. This allows for more precise signal recovery. The maximum voltage cross-correlation coefficients were carefully evaluated as distinguishing elements in the development of a suggested fault detection technique. The proposed concept was evaluated on a modified imbalanced IEEE 240 bus system under different case studies. These case studies cover a wide range of scenarios, such as the switching of a capacitor bank, feeder energization, and the effects of nonlinear loads under noisy conditions