A new generation in real-time situational awareness

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Real-time situational awareness (RSTA) is crucial in numerous fields, particularly in public safety, transportation and emergency management. It enables decision-makers and first responders to quickly assess situations, select appropriate actions and implement plans effectively, ensuring timely assistance and resource allocation.

RTSA is a process of continuously monitoring and analyzing information to understand what is happening in a given environment. Virtually every owner or operator has a need for this, although the data that may be relevant varies.

RTSA refers to the ability to understand your environment and act appropriately. This will enable response to events as they unfold, using integrated data from various sources to enhance decision-making and operational efficiency. [1]

While real-time situational awareness is desired by various entities, it should be noted that it does not come from a single data point, as a single data point is not sufficient. There need to be locational, temporal and informational elements present to draw reasonable conclusions. One promising tool enabling this improved decision-making is the geographic information system.

Real-Time Geographic Information System

GIS is a technology that connects data to a map, integrating location and descriptive information. GIS helps users understand patterns, relationships and locational context, and supports decision-making in various industries.

A real-time GIS can create situational awareness because of its ability to simultaneously ingest, integrate, analyze and display streaming data from most any sensor, device and social media. GIS and location-based analytics can automatically refine and focus real-time data to accomplish the mission with up-to-the-minute intelligence on what’s happening in the field and across agencies and governmental jurisdictions. That’s why police, fire and emergency management organizations at all levels of government use real-time GIS capabilities in their operations and dispatching centers.

Building Robust New Layers is Key

As the duration — or reach and impact — of an emergency event increases, so does the number of agencies involved in responding to and mitigating that event. This requires communication systems to scale accordingly, ensuring seamless information exchange and communication among those agencies.

A significant obstacle to this essential communication is the lack of interoperability, with data interoperability playing a critical role. Data interoperability is the ability of different systems, devices or organizations to share digital information so they can communicate and work together effectively. Without this interoperability, organizations face delays in decision-making, reduced response efficiencies and challenges in coordinating incident management.

The Cybersecurity and Infrastructure Security Agency published the Information Sharing Framework as an approach to address the data interoperability challenge. It puts forward a three-layer framework that presumes:

a data layer, which resides with an individual agency in its nonsharable silo;
a presentation layer, which is the end user who needs to see the data in context for real-time situational awareness and decision-making;
and sandwiched in between is an integration layer, which does the necessary translation between the data and presentation layers in which the data is discovered, accessed, exchanged, analyzed and transported to the end user. [2]

For RTSA, the system must be able to access the relevant information in the data layer, to transform and standardize that data such that it can be augmented with other data to create actionable information that can be pushed or pulled into the presentation layer to inform the end user. This information will answer myriad questions about the situation such as when, where, who and what.

Radio Frequency Real-Time Situational Awareness

In today’s world of autonomous vehicles and swarms of drones, the electromagnetic spectrum is becoming a critical part of situational awareness. Both in knowing what spectrum is available for use and what spectrum needs to be defended or excluded due to willful interference.

Even in the context of space, RF spectrum data can help monitor satellite communications and detect anomalies, providing a more comprehensive understanding of the space environment and its potential threats.

The RF spectrum frequencies range from 3 kilohertz to 3 THz (which spans 3 KHz up to 3 billion KHz). Radio waves, part of the RF spectrum, are regulated by national laws and coordinated by the International Telecommunication Union to prevent interference between different users.

Radio frequency real-time situational awareness involves the use of radio frequency data and sensors to monitor, analyze and understand this environment. It is crucial for operational planning where the electromagnetic spectrum is a critical domain.

Its ability to provide real-time awareness of radio frequencies is critical to building an actionable picture of what are very dynamic environments. For example, recognizing the critical nature of an incident as it escalates from a local situation to a regional one.

Under the Hood

Effective spectrum monitoring devices rely upon modern developments in software-defined radio (SDR) technology that facilitate rapid reconfiguration and adaptation for various tasks. These include significant enhancements not only to computing capabilities but to the neural processing unit capacity as well. In part, to facilitate RF bandwidth pattern of life technical capability including time frame to gain specific insights.

Various capabilities are also expected to emerge in the coming years associated with situational awareness that may have a significant impact on the effectiveness, safety and health of especially the first responder community. The internet of things, cameras, data from other applications and networks, and sensors continue to produce increasing amounts of data. Artificial intelligence and data analytics are envisioned to be increasingly important mechanisms to assist in enabling timely and more informed decisions.

Multipurpose Remote Sensors

RF devices used for assured positioning, navigation and timing (A-PNT) most naturally are able to provide RF mapping for situational awareness. The same RF spectrum mapping that gives operators the tools to see real and potential frequency interference and usage. Just as GIS helps provide real-time situational awareness in the physical world, spectrum mapping provides RF real-time situational awareness in the virtual world. Different data, different tools, but the same need and general approach.

Such multipurpose devices could further contribute to helping build RF situational awareness to include information about emitter identification and locations core to RF mapping. Or RF-based sensors could be able to use signals such as those used by tactical radios, once their location is established.

This fulfills the vision that these RF devices, for example, could be positioned to support RF multiple aspects of situational awareness when not performing their primary mission.

This requires RF real-time situational awareness to be integrated into operational frameworks to allow for better decision-making, improved safety and enhanced capabilities in both military and civilian applications. By leveraging RF data in multiple ways, organizations can fill gaps in traditional monitoring techniques, leading to a more robust understanding of the operational landscape. RF real-time situational awareness is a critical capability that enhances operational effectiveness using advanced sensing technologies and data analysis, particularly in complex environments.

Poised for a New Generation

A key element for the aforementioned presentation layer is to provide the same data to many, although specific locations, referred to as narrowcasting (think narrow multicasting). A new company, EdgeBeam Wireless, is building a next generation broadcast system to provide these services largely referred to as datacasting. Powered by the broadcast industry’s latest ATSC 3.0 standard, this new service will make its datacasting compatible with standard IP networks, fiber networks and mobile 3GPP networks. It could be used for very efficient geolocation delivery of all real-time situational awareness data to many specific locations. [3]

A good example of an RF-based terrestrial platform is MerlinTPS. This terrestrial positioning system provides 100% terrestrial, RF-based assured positioning, navigation and timing. As part of its operation, the system naturally makes a spectrum map within the radius of each of its reference units. For example, coverage of the entire U.S. would take about 200 reference units, plus about 100 backup units. This RF spectral map is updated with one-second iterations, keeping the data up to date for any unfolding spectral and terrestrial events.

The MerlinTPS platform is based on modern-day SDR technology, ideal for flexibility of RF spectrum presence, as well as the growing use of AI. This feature then naturally could be used to create and maintain a total spectrum map and pattern of life.

The platform supports high-precision time transfer of plus or minus 10 ns, critical to A-PNT today, along with positioning and navigation services. The platform can also provide geolocation data for modern real-time GIS features needed for this new generation of real-time situational awareness.

The combination of MerlinTPS with use of the ATSC 3.0 pending EdgeBeam Wireless service could provide the highly full-featured capabilities to fuel the newest generation of real-time situational awareness networks.

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