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Full-Text Articles in Engineering
Efficient Time Of Arrival Calculation For Acoustic Source Localization Using Wireless Sensor Networks, Prashanth G. Reddy
Efficient Time Of Arrival Calculation For Acoustic Source Localization Using Wireless Sensor Networks, Prashanth G. Reddy
ETD Archive
Acoustic source localization is a very useful tool in surveillance and tracking applications. Potential exists for ubiquitous presence of acoustic source localization systems. However, due to several significant challenges they are currently limited in their applications. Wireless Sensor Networks (WSN) offer a feasible solution that can allow for large, ever present acoustic localization systems. Some fundamental challenges remain. This thesis presents some ideas for helping solve the challenging problems faced by networked acoustic localization systems. We make use of a low-power WSN designed specifically for distributed acoustic source localization. Our ideas are based on three important observations. First, sounds emanating …
Computational Complexity Of Signal Processing Functions In Software Radio, Kushal Y. Shah
Computational Complexity Of Signal Processing Functions In Software Radio, Kushal Y. Shah
ETD Archive
The increased usage of mobile communication devices has imposed a challenge of achieving efficient communication with minimum power consumption. Moreover, with the advent of software defined radios (SDR), it is highly possible that signal processing functions would be implemented in software in future mobile devices. Hence, the power consumption of these future devices will be directly related to the power consumed by the processor that executes SDR software. This thesis aims at analyzing the computational complexity of different modulation schemes and signal processing communication functions of IEEE WiFi standard. This analysis provides good insight on how the computational load varies …
Tracking In Wireless Sensor Network Using Blind Source Separation Algorithms, Anil Babu Vikram
Tracking In Wireless Sensor Network Using Blind Source Separation Algorithms, Anil Babu Vikram
ETD Archive
This thesis describes an approach to track multiple targets using wireless sensor networks. In most of previously proposed approaches, tracking algorithms have access to the signal from individual target for tracking by assuming (a) there is only one target in a field, (b) signals from different targets can be differentiated, or (c) interference caused by signals from other targets is negligible because of attenuation. We propose a general tracking approach based on blind source separation, a statistical signal processing technique widely used to recover individual signals from mixtures of signals. By applying blind source separation algorithms to mixture signals collected …