Aditya V. Padaki

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Traditionally wireless sensor networks (WSNs) employ active RF communication where the RF signal has to be generated at nodes, thus consuming a significant amount of energy. In contrast, employment of passive communication, where nodes backscatter a modulated version of the incident RF signal, offers great advantages including reducing the energy cost of(More)
—This paper presents a pioneering study based on a series of experiments on the operation of commercial Time-Division Long-Term Evolution (TD-LTE) systems in the presence of pulsed interfering signals in the 3550-3650 MHz band. TD-LTE operations were carried out in channels overlapping and adjacent to the high power SPN-43 radar with various frequency(More)
The passive backscatter technology is increasingly employed in wireless sensor network (WSN) applications. In contrast to existing technologies it offers several advantages including a battery-less operation, extremely small-form factor, and low costs. Our previous works demonstrated that theoretically such backscatter-based network outperforms existing(More)
Pulse compression is important for improving range resolution, and the application of neural networks for pulse compression has been well-explored in the past. However, the practical importance of extracting rather weak echoes of targets that are either distant, or have small radar cross-section, appears to have been overlooked. Addressing this issue,(More)
This paper elaborates on the importance of including receiver performance characteristics to optimize for efficient spectral usage. Futuristic heterogeneous wireless networks are expected to be diverse and dynamic. Knowledge of receiver spectral performance enables the spectrum management system not only to provide adequate protection from harmful(More)
This paper discusses the importance of understanding the vulnerability of receivers towards intermodulation distortion. Knowledge of the RF front end non-linearity from a spectrum consumption point of view is of crucial importance in efficient spectrum management. A specific case of intermodulation distortion for Low Noise Amplifier (LNA) is studied to(More)
In this paper we develop a novel pulse radar detection scheme using Support Vector Machines (SVMs). SVMs are a powerful tool for pattern classification. Exploiting this, we design a SVM for pulse radar detection of targets embedded in noise. An adaptive pre-processing stage is included when the echoes are very weak. It is observed that the signal-to-side(More)
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