Cooperative MIMO

MIMO can be employed in a distributed manner to enhance coverage and energy efficiency in wireless sensor networks.

Wireless sensor networks (WSNs) are flexible and versatile tools that have been employed in fields ranging from health care to military applications. The nodes that compose such networks are usually very simple and have a very limited energy supply. Due to their simplicity and usage in often unsavory conditions, replacing node batteries individually is not always possible. Since communication is often the most energy consuming tasks in a WSN, maximizing its energy efficiency is paramount. MIMO techniques can be used by using neighboring nodes to form a distributed MIMO cluster, allowing for more efficient communication that can also cover longer distances at lower energy costs.

Parameter Estimation

Antenna arrays are now part of modern communication standards such as LTE and 5G allowing high bandwidths and low latency. Antenna arrays signal processing can be employed to track direction of arrival of for beamforming onto a receiver.

Array signal processing has become more relevant than ever due to the pervasive nature of modern MIMO systems. Multiple antennas are present in nearly all modern communication standards. One major field of array signal processing is the field of parameter estimation, that aims to track parameters from a transmitted or received signal, such as direction of arrival, direction of departure, Doppler shift, polarization, and others. These parameters can be used to enhance transmission, allowing for more robust and faster data transmission.

Radio Based Localization

Localization has become part of daily lives with GPS and apps such as Google Maps. However, for safety of life application GPS is often not reliable enough.

GPS systems have found their way onto our daily routines, simplifying our relation with unknown locations and enabling us to travel safer and more independently. However, for safely of life applications such as maritime positioning, airplane positioning, and autonomous vehicle position, GPS systems are not reliable enough. One tool that can help deal with such scenarios is radio base localization. By tracking the signal sent by a transmitter it is possible to obtain very accurate position estimations that are not affected by urban scenarios and foliage coverage such as GPS systems.

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