Distributed Sensor Signaling

New technology for management of a distributed network small sensors with low transmitting power located in a dynamic outdoor environment

Distributed Signal Sensing

Distributed Signal Sensing

With the rapid growth in wireless communications services, 5th generation mobile networks in 2020 will be capable of connecting sensors, connected vehicles, smart meters, and smart home gadgets way beyond our current experience of tablet and smartphone connectivity. However, this raises the challenge of sensing and classifying all these signals from small sensors with low transmitting power located in a dynamic outdoor environment.

Multiple sensors can be used to capture the signal of interest (SOI) when the signal is weak. An approach to minimize the investment in the sensor network is to deploy massive amounts of very low-cost and disposable sensors to cover a large territory, or leverage all existing infrastructure in the area, such as radios, wifi devices, phones, or mesh networks.  The burden of the signal processing of raw data is pushed towards a central fusion center. There is, therefore, a need for a new method for optimal signal combining.

The US Army Communications-Electronics Research, Development and Engineering Center (CERDEC) Intelligence and Information Warfare Directorate has developed and patented a post synchronization and classification method for aggregating and processing the raw data from the distributed sensor network.  The method utilizes higher-order statistics of distributed signals to give a more robust and accurate estimation and classification of the signal of interest.  Efficient signal processing algorithms, implemented in a fully distributed manner, minimize the local processing and make the pervasive network sensing and classification possible.

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