Pedamallu Chandra Sekhar

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Advancement in Remote Sensing Imaging sensors provides massive rise in the accessibility and quality of timely and repetitive multisensor, multimodal, multi band, multiview, multiresolution earth surveillance information on a global scale. Image alignment is a fundamental task in remote sensing. Though there is an extensive range of alignment techniques(More)
This paper proposes an effective control strategy for a single-stage, three-phase PV system, supplying local load and integrated with the grid. Maximum power tracking is achieved with interleaved inner current control loop and outer voltage control loop. The output of PV generator is processed by the voltage source converter, a well established dc/ac(More)
2.5 GHz narrow band inductive degenerated (LNA) low noise amplifier implemented in a 0.18 µm RF CMOS process which is used in particularly telecommand system for satellite and also for WSN (Wireless sensor networks. The amplifier provides a forward gain (S 21) of ˃ 16 db with a noise figure of S 11 ˂ 2db. While drawing of 10 mw from 1.8v Supply by using(More)
3-10 GHz ultra wideband second stage cascade low noise amplifier wideband input matching network design in a 90nm 1.2V standard RF CMOS technology realization of a single chip CMOS UWB communication systems. The proposed ultra wideband LNA achieves 12.5 dB power gain with a good input matching receiver with bandwidth of 7.6 GHz and an average noise figure(More)
In this paper an approach for fault location based on online neural network is designed. The approach of learning the neural network based on the running fault values are trained for the suggested neural network. This approach result in running fault diagnosis based on the fault observation parameter based on the diagnosis tool. The approach is designed to(More)
This paper presents the mathematical modeling and analysis of model predictive based direct power control for real and reactive powers in three phase grid connected inverters. The voltage vector is selected by the minimization of the cost function of the power and applied for the next sampling period. By using the lagrange extrapolation the value of grid(More)
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