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Call Center/Command


IWCE: Tektronix launches ‘signal hunter’ for surveillance, security sectors

IWCE: Tektronix launches ‘signal hunter’ for surveillance, security sectors

LAS VEGAS--Tektronix unveiled at IWCE 2008 its new RFHawk, a digital handheld device that hunts, locates and classifies both analog and digital rogue radio frequency transmissions. It is targeted to the surveillance and security sector, where speed is paramount, said Bob Hiebert, Tektronix’ general manager for wireless test solutions in an interview this week with MRT
  • Written by Urgent Communications Administrator
  • 27th February 2008

LAS VEGAS–Tektronix unveiled at IWCE 2008 its new RFHawk, a digital handheld device that hunts, locates and classifies both analog and digital rogue radio frequency transmissions. It is targeted to the surveillance and security sector, where speed is paramount, said Bob Hiebert, Tektronix’ general manager for wireless test solutions in an interview this week with MRT.

“The sooner they can find the bad guy, the sooner they can prevent a bad thing from happening,” Hiebert said.

The handheld nature of the RFHawk makes it a nimbler solution compared with other scanners and analyzers, according to Hiebert.

“A lot of this is about not having 20 or 30 people, each with a hundred-thousand-dollar piece of equipment in the back of a van, but how do you get two or three people in a particularly hostile area to quickly sort through what’s there and look for what shouldn’t be there.”

The RFHawk had been in development for three years. Tektronix got the idea for the device when it learned that the military had adapted spectrum scanners and analyzers the company had developed for the cellular market to use for surveillance applications, Hiebert said.

“So we spent some time talking to that marketplace and understanding what their needs were,” Hiebert said. “We had on our road map the desire to build a next-generation spectrum analyzer that went to higher frequencies, but we decided to … take what we knew about ruggedized, portable field tools—that can run for 6-8 hours and be dropped off a cell tower—and build an application base for the surveillance market.

“With the spending going on in security and [anti-]terrorism activities, that looked like a good place to go.”

The growth of digital wireless technology has caused a major headache for the surveillance and security sectors, because so much RF spectrum is being used that it has become increasingly difficult to distinguish between legitimate and illegitimate transmissions, Hiebert said.

“In the past, you could find a bad guy by the presence of an RF signal. The problem now is that there’s so much RF spectrum being used that distinguishing between what’s supposed to be there versus what’s not supposed to be there is really difficult,” Hiebert said. “Secondly, the nature of the digital signals themselves mask their true nature. CDMA is a derivative of military spread spectrum, which was developed as a way to avoid detection.”

A real-world example of a crowded RF landscape where it is challenging to determine which signals shouldn’t be there can be found in Iraq, where the U.S. Army now finds itself in a bit of a quandary. Insurgents have been using a wide variety of wireless devices—including cellular phones, cordless phones and garage-door openers—to detonate improvised explosive devices, or IEDs. To combat this, the Army has been engaged in the wholesale jamming of RF signals. But this has resulted in an unwanted byproduct: the jamming also has been affecting the Army’s own transmissions. (“Army’s jamming strategy blows up,” MRT March)

The RFHawk not only would hunt for such illegitimate transmissions and ferret them out, it would help users create a profile, so they would have a better idea of what they were looking for in the future, according to Hiebert.

“When [an IED] goes off, they can capture [the transmission] to see what it looks like, so they can characterize the signal that triggered the detonation,” he said.

There are other examples much closer to home. For instance, drug traffickers use illegitimate transmissions to converse with each other along the U.S./Mexico border, Hiebert said. Other examples can be found in U.S. prisons.

“They’re actually looking for crime lords that are running their empires from behind bars,” Hiebert said. “They get their electronics confiscated, but somebody smuggles them a cell phone.”

In addition, the RFHawk searches for intentional transmitters (i.e., jammers), as well as listen-only devices—e.g., receivers that eavesdrop, for nefarious purposes, on another entity’s legitimate transmissions. Then there are intermittent transmitters, whose history dates back decades.

“If you go back to World War II, the French Underground had a technique where they knew at what time, and on what day of the week, to turn on their radio transmitters to broadcast a message to the Allies,” Hiebert said, adding that digital technology has made locating intermittent transmitters more challenging. “You can turn on and turn off in much shorter bursts to uplink data. So trying to find those transmitters that aren’t on all the time is more difficult.”

The RFHawk’s location capability is provided via a mapping application. However, it is the device’s ability to classify the signals that makes it truly unique, according to Hiebert. “This is the magic,” he said.

The device uses spectral correlation analysis to compare identified signals with known signal types in the area. RFHawk users can visually compare the shape of the questionable signal with the shape of known signals in the area to determine whether the questionable signal is indeed a problem.

“You can think of this as an RF-fingerprinting tool,” Hiebert said.

When a signal is determined to be a threat, the RFHawk pinpoints the location, aided by the device’s directional antenna and its ability to generate signal-strength readings that are linked to GPS and in-building maps, which enables rapid narrowing of the search area. In addition, the RFHawk, which lists for $38,900, logs and stores measurement data for each rogue signal that’s identified.

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